#thought the wiki had access to my game files for a second

[5unny-lmao]

Just finished playing Omori for the first time, went in completely blind. Imagine my shock when I googled the game afterward and found out I happened to name the main character their actual name.

[itsyoung8]

My theories in Bully #2

Bonjour ou bonsoir! It all depends on where you are reading this post. Today I wanted to share with you some of my theories that I had during this time of absence.

WARNING: this post is going to be about sex at some point. If you are young and/or uncomfortable with this topic, please do not read. Even if these are soft words, I still prefer to warn since many here are minors

Bryce occupies a fairly important place in the hierarchy of preppies, contrary to what one might think. He is the second right hand man of Derby, after Bif, which puts him quite high compared to the others and especially Tad. What makes me say this is that, during the fight against Russell in the hole and during the fight against Derby during the complete chaos, Bryce is on Derby's side instead of Bif. I think when Bif is not able to be Derby's right-hand man, Bryce replaces him. Bif and Bryce share the same statistics as Bif in boxing as well as his fighting style and health bar (source: Bryce's wiki profile). Thus, for Derby, Bryce is the most suitable to replace Bif when the latter is not available. Derby wouldn't take someone who couldn't provide his physical protection like Tad for example. This is why Bryce is above Tad in the hierarchy although he does not give orders at any point in the game or have any importance in the story.

The choice to put Zoe as Jimmy's last girlfriend is well thought out. In each chapter, Jimmy ends up dating a girl but breaks up with her in the next chapter to date another. This stops from the moment he dates Zoe at the end of Chapter 5. Every girl before Zoe had something that made Jimmy get tired of her: too involved in studies for Beatrice, too concerned about her social status for Pinky, too manipulative for Lola, and too obsessed with her beauty and popularity for Mandy. Zoe is Jimmy's last girlfriend and the one he will stay with until the end of his life. Jimmy sees that it's finally the right one since she's not too much like this or too much like that. This is why he will only confess his love to her (see scene when we start the Complete Mahyem mission) since he judges her as the right person. This explains why, I think, the choice of Zoe as the last girlfriend is thoughtful.

!!WARNING: IN THE THEORY THAT FOLLOWS, THE DESIGNATION OF SEX WILL BE PRESENT!!

Wade is scared of being in a romantic relationship with a girl because he doesn't want to end up like his parents, which is to say divorced. We can rely on this line: "Sure I'll ask her out one day, then we'll wind up being married and divorced, just like ma and pa." This fear pushes him to only want to have sexual relations with girls since this does not necessarily involve a romantic relationship. Moreover, some lines of Wade's dialogues can show us that he is only attracted by this as: "How can I get in her pants? Cologne, dad always wears cologne." and "My dad says he's gonna buy me some condoms so I can like... do it with chicks, you know?". (Feel free to tell me if I'm wrong about the first line of dialogue the English speakers. To me, it shows that Wade wants sex but maybe I'm wrong)

Gurney managed to infiltrate the school, to set fire to the gymnasium, thanks to Gary. When you read the prefects' file, you can see that they are corrupt (except for Max perhaps). It can then be assumed that Gary paid them in exchange for letting Gurney into the school to access the gymnasium. You will tell me "yes, but Gurney may also have gone through the shortcuts near the asylum and which are connected to the school". It can be possible. But I have the impression that only Jimmy knows these shortcuts because, for a long time, they were blocked by stones or barriers. So in my opinion, Gurney went through the entrance of the school thanks to Gary.

Ricky's hatred of jocks isn't just because his ex probably left him for a jock. It is known that Ricky is one of the only students at Bulloworth Academy to openly denounce Mr. Burton's behavior towards the girls at the school. It is also known that most jocks are very fond of Burton since it provides them with steroids and/or has done them no harm. So, when the Zoe vs. Burton affair breaks out, the jocks come to Burton's defense and somehow save him from being fired. Ricky seeing this, has an even stronger hatred for jocks.

In Damon's wiki page, it says that he holds a grudge against the preppies. For me, it would be due to money. Damon holds a grudge against them because, prior to the main story, Damon and the preppies were allegedly involved in something in which the preppies used the money to achieve their end, leaving Damon to be the big loser in that story. This grudge is the same as the one against Ted but for the same reasons. He holds a grudge against Ted because he was chosen to be the quarterback only because he was the most popular in the school, leaving Damon as the big loser. That's why Damon spits on Ted's back in the process. Damon holds a grudge against the preppies and Ted because they got what they want easily, unlike Damon who works hard to get nothing in the end.

This is the end of this second post on my theories. Thanks for reading to the end! Au revoir!

[because-its-important]

what’s the most annoying question to ask a nun* in 1967?

tl;dr - In 1967, a very long survey was administered to nearly 140,000 American women in Catholic ministry. I wrote this script, which makes the survey data work-ready and satisfies a very silly initial inquiry: Which survey question did the sisters find most annoying?

* The study participants are never referred to as nuns, so I kind of suspect that not all sisters are nuns, but I couldn't find a definitive answer about this during a brief search. 'Nun' seemed like an efficient shorthand for purposes of an already long title, but if this is wrong please holler at me!

During my first week at Recurse I made a quick game using a new language and a new toolset. Making a game on my own had been a long-running item on my list of arbitrary-but-personally-meaningful goals, so being able to cross it off felt pretty good! 

Another such goal I’ve had for a while goes something like this: “Develop the skills to be able to find a compelling data set, ask some questions, and share the results.” As such, I spent last week familiarizing myself with Python 🐍, selecting a fun dataset, prepping it for analysis, and indulging my curiosity.

the process

On recommendation from Robert Schuessler, another Recurser in my batch, I read through the first ten chapters in Python Crash Course and did the data analysis project. This section takes you through comparing time series data using weather reports for two different locations, then through plotting country populations on a world map.

During data analysis study group, Robert suggested that we find a few datasets and write scripts to get them ready to work with as a sample starter-pack for the group. Jeremy Singer-Vines’ collection of esoteric datasets, Data Is Plural, came to mind immediately. I was super excited to finally have an excuse to pour through it and eagerly set about picking a real mixed bag of 6 different data sets.

One of those datasets was The Sister Survey, a huge, one-of-its-kind collection of data on the opinions of American Catholic sisters about religious life. When I read the first question, I was hooked. 

“It seems to me that all our concepts of God and His activity are to some degree historically and culturally conditioned, and therefore we must always be open to new ways of approaching Him.” 

I decided I wanted to start with this survey and spend enough time with it to answer at least one easy question. A quick skim of the Questions and Responses file showed that of the multiple choice answer options, a recurring one was: “The statement is so annoying to me that I cannot answer.” 

I thought this was a pretty funny option, especially given that participants were already tolerant enough to take such an enormous survey! How many questions can one answer before any question is too annoying to answer? 🤔 I decided it’d be fairly simple to find the most annoying question, so I started there. 

I discovered pretty quickly that while the survey responses are in a large yet blessedly simple csv, the file with the question and answers key is just a big ole plain text. My solution was to regex through every line in the txt file and build out a survey_key dict that holds the question text and another dict of the set of possible answers for each question. This works pretty well, though I’ve spotted at least one instance where the txt file is inconsistently formatted and therefore breaks answer retrieval.

Next, I ran over each question in the survey, counted how many responses include the phrase “so annoying” and selected the question with the highest count of matching responses.

the most annoying question

Turns out it’s this one! The survey asks participants to indicate whether they agree or disagree with the following statement:

“Christian virginity goes all the way along a road on which marriage stops half way.”

3702 sisters (3%) responded that they found the statement too annoying to answer. The most popular answer was No at 56% of respondents. 

I’m not really sure how to interpret this question! So far I have two running theories about the responses:

The survey participants were also confused and boy, being confused is annoying!

The sisters generally weren’t down for claiming superiority over other women on the basis of their marital-sexual status.

Both of these interpretations align suspiciously well with my own opinions on the matter, though, so, ymmv.

9x speed improvement in one lil refactor

The first time I ran a working version of the full script it took around 27 minutes. 

I didn’t (still don’t) have the experience to know if this is fast or slow for the size of the dataset, but I did figure that it was worth making at least one attempt to speed up. Half an hour is a long time to wait for a punchline!

As you can see in this commit, I originally had a function called unify that rewrote the answers in the survey from the floats which they'd initially been stored as, to plain text returned from the survey_key. I figured that it made sense to build a dataframe with the complete info, then perform my queries against that dataframe alone. 

However, the script was spending over 80% of its time in this function, which I knew from aggressively outputting the script’s progress and timing it. I also knew that I didn’t strictly need to be doing any answer rewriting at all. So, I spent a little while refactoring find_the_most_annoying_question to use a new function, get_answer_text, which returns the descriptive answer text when passed the answer key and its question. This shaved 9 lines (roughly 12%) off my entire script.

Upon running the script post-refactor, I knew right away that this approach was much, much faster - but I still wasn’t prepared when it finished after only 3 minutes! And since I knew between one and two of those minutes were spent downloading the initial csv alone, that meant I’d effectively neutralized the most egregious time hog in the script. 👍

I still don’t know exactly why this is so much more efficient. The best explanation I have right now is “welp, writing data must be much more expensive than comparing it!” Perhaps this Nand2Tetris course I’ll be starting this week will help me better articulate these sorts of things.

flourishes 💚💛💜

Working on a script that takes forever to run foments at least two desires:

to know what the script is doing Right Now

to spruce the place up a bit

I added an otherwise unnecessary index while running over all the questions in the survey so that I could use it to cycle through a small set of characters. Last week I wrote in my mini-RC blog, "Find out wtf modulo is good for." Well, well, well.

Here’s what my script looks like when it’s iterating over each question in the survey:

I justified my vanity with the (true!) fact that it is easier to work in a friendly-feeling environment.

Plus, this was good excuse to play with constructing emojis dynamically. I thought I’d find a rainbow of hearts with sequential unicode ids, but it turns out that ❤️ 💙 and 🖤 all have very different values. ¯\_(ツ)_/¯

the data set

One of the central joys of working with this dataset has been having cause to learn some history that I’d otherwise never be exposed to. Here’s a rundown of some interesting things I learned:

This dataset was only made accessible in October this year. The effort to digitize and publicly release The Sister Survey was spearheaded by Helen Hockx-Yu, Notre Dame’s Program Manager for Digital Product Access and Dissemination, and Charles Lamb, a senior archivist at Notre Dame. After attending one of her forums on digital preservation, Lamb approached Hockx-Yu with a dataset he thought “would generate enormous scholarly interest but was not publicly accessible.”

Previously, the data had been stored on “21 magnetic tapes dating from 1966 to 1990” (Ibid) and an enormous amount of work went into making it usable. This included both transferring the raw data from the tapes, but also deciphering it once it’d been translated into a digital form.

The timing of the original survey in 1967 was not arbitrary: it was a response to the Second Vatican Council (Vatican II). Vatican II was a Big Deal! Half a century later, it remains the most recent Catholic council of its magnitude. For example, before Vatican II, mass was delivered in Latin by a priest who faced away from his congregation and Catholics were forbidden from attending Protestant services or reading from a Protestant Bible. Vatican II decreed that mass should be more participatory and conducted in the vernacular, that women should be allowed into roles as “readers, lectors, and Eucharistic ministers,” and that the Jewish people should be considered as “brothers and sisters under the same God” (Ibid).

The survey’s author, Marie Augusta Neal, SND, dedicated her life of scholarship towards studying the “sources of values and attitudes towards change” (Ibid)  among religious figures. A primary criticism of the survey was that Neal’s questions were leading, and in particular, leading respondents towards greater political activation. ✊

As someone with next to zero conception of religious history, working with this dataset was a way to expand my knowledge in a few directons all at once. Pretty pumped to keep developing my working-with-data skills.

[summylise]

Erasing the Stigma: Fanfiction as Legitimate Form of Literature

Remember this post from a few weeks ago that got a ton of notes (which I am STOKED about)? Well...I just submitted the final draft!! I figured you guys would want to see what your responses amounted to so here it is!! If you’d like to share it with others (especially those who look down at fanfiction) go ahead!! I’d love to spread the word more~~

(Oh! and here is where you can access the original formatted with the works cited essay)

      Erasing the Stigma: Fanfiction as Legitimate Form of Literature

Two writers type on a desktop computer. One sits cross-legged in a dark room lit only by a single, smooth Mac surrounded by sheets of character references, thesauruses, dictionaries, and the occasional motivational quote. The other in a similar position but at their local Panera with nothing but their school laptop open to a few wikis, Thesaurus.com, and maybe some calming music. Both bite their lip as the words fail to transfer to screen. Both stress about the possible response to their pieces. A few hours later and they are ready to submit. The first contacts their agent who then contacts a few others. Days, weeks, months pass and the first writer still hasn’t heard back from their agent. The second author uploads their file as soon as they finish typing the last word, sometimes in an email to their beta (or their editor from the same fan-base), other times directly to the site. Days, weeks, months pass and the second author has already cranked out more chapters, received a handful of reviews, and has gained many followers. The difference? The second person uploaded theirs to Fanfiction.net and is looked down upon by most of society. There has often been a stigma associated with the term “fanfiction”, as if it was a disease or something others look down upon. Yet many see it as a creative outlet and something that allows them to fully express themselves in a way that formal writing or writing a physical book cannot. Some oppose the fact that fanfiction, stories written about video games, movies, television shows, etc., are forms of literature and say that reading and writing is not “real” reading or writing. They even may go as far to say that fanfics serve no outside purpose and has no content. While some stories may be lacking in the grammatical or logical correctness, fanfiction as a whole is in fact a valid form of literature, especially when compared to formal reading and writing.

In order to discuss fanfiction, it needs to be defined. Fanfics are stories that are written by fans of a certain form of entertainment (whether that be musicals, books, animes, television shows, movies, etc.)(Lammers and Marsh). Fanfic authors are not paid, do not expect anything in return (except for the occasional review or two), and write just because they like the show and have an appreciation for writing. The fanfic author, formerly known as epeolatryx on Tumblr, writes, “People don’t pay for fanfiction. Reviews are our currency. Thank yous pay for the effort we spend on the next one,” (Xambedo). Another difference comes in the form of creativity, or rather, starting with nothing versus starting with a pre-existing base. Instead of creating entirely new universes with brand new characters, fanfic authors use existing characters, settings, and plots from existing medias to generate their own stories. Some of these stories even become so popular that they end up published due to a uniqueness they had despite being based on something else. The After series by Anna Todd, a One Direction fanfic, began on Wattpad, a free, digital publishing service, and became a published novel that is going to be made into a movie (Contrera). Granted, Todd had to change the names of the band mates in order to avoid copyright infringement but this successful story still began as fanfiction. Other fanfictions include The Little Mermaid, The Lion King, Ella Enchanted, and many more that do not seem obvious to the naked eye. The only difference between stories on sites like Fanfiction.net and the ones listed above are that the second are considered “actual books” or “real reading” whereas the first are not. It all comes down to what makes up real literature.

Literature is defined as “any piece of writing that can claim that it has—in some way—artistic beauty” according to Richard Jewell, author of Experiencing the Humanities. However, he later states that items such as bullet points and grocery lists would not count as they are not artistic and are only meant to serve as lists rather than actual pieces. In his textbook, he states all of the qualities that make literature and claims that if a piece were to include those attributes, that it would be considered literature. Those three attributes are creative description, characters, and plot (Jewell). All of those are included in fanfiction which are just stories created using non-original characters. Based on these requirements, fanfiction would factually be regarded as literature. Not only does fanfiction count technically as literature, but the process is the same.

Fanfiction should also be viewed through a newer learning term known as the multiliteracy framework. Multiliteracies are forms of reading or writing that incorporate more than just a pen and an idea; they explain how different cultural mediums, forms of communication, and compositional variety come together to create a piece (Chandler-Olcott and Mahar 559). Three main branches of this framework can specifically be applied to fanfiction: multimodality, intertextuality, and hybridity.

Multimodality involves the “integration of various Designs such as visual, linguistic, and audio in one text…” (Chandler-Olcott and Mahar 561). In regards to fanfiction, authors often employ these three attributes in order to entertain their readers and make their story more enjoyable. In my experience as a fanfic writer and reader, we authors show pictures or fanarts that we have created or have had created for us, find music or sound effects to serve as the background to our stories, and alter their fonts to evoke a stronger meaning (such as italicizing thoughts). By doing so, we are incorporating many different elements into one to create a diverse and interesting final product.

The second concept is that of intertextuality. Intertextuality are the “relationships and references between and among texts. Fanfiction is the crossing of original ideas with those of pre-existing characters and features which, in a sense, is exactly what intertextuality is. The connection between two sources doesn’t have to be strictly between two written pieces; Chandler-Olcott and Mahar explain that it can also occur between fanfiction and reality. The authors describe a fanfic the girls they studied wrote that involved deep, psychological questions such as a woman’s place in the world and heterosexual relationships despite the girls still being in middle school. The authors say, “Viewing rhetorical moves like these from the perspective of the Multiliteracies framework helped us to appreciate how complicated, and even sophisticated, the girls’ fanfics often were,” (Chandler-Olcott and Mahar 563). The two fanfic authors were able to pull from different forms of “text” in order to create a unique and thought provoking piece by using the concept of intertextuality.

Finally, hybridity is the creation of new ideas by picking and choosing specific parts of different mediums and combining them in a unique and sometimes never before seen way. Fanfics tend to grab from many different areas such as different genres and different story structures. When I go to publish a work of mine on Fanfiction.net, it prompts me to select two different genres before I can continue. Much like published books, fanfictions mix many genres together such as adventure, romance, comedy, etc. in order to create a successful and unique piece. However, fanfictions differ from books immensely when it comes to story structure. In fanfics, there tends to be a lack of an exposition or any explanation, description, or background of the story; the author jumps right in (Chandler-Olcott and Mahar 564). Fanfic authors choose to not add an exposition because they know that their audience knows almost everything about their characters: their physical attributes, their history, their personalities, their hopes and fears (Chandler-Olcott and Mahar 564). By neglecting to include an intro and picking multiple genres with which to base their stories on, fanfic authors rely very heavily on the concept of hybridity. Creating a hybrid of literature tends to have consequences, though not the ones that society may expect.

Fanfictions are a new branch of reading and writing that not only counts structurally, subjectively, and scholarly as a form of literature but also, much like its published counterparts, leaves an impression. In my survey of over two-hundred people, I found that around 53.59% of respondents had connected with new people they otherwise would not have met through fanfiction, whether it was reading or writing. This is due to the collaboration and connection with authors and readers via the follow, favorite, review or comment ability on Fanfiction.net that allows people to say how a certain chapter made them feel, make assumptions on future chapters, and offer suggestions for future chapters. Social media also plays a role in connecting readers and writers. On the popular social media site, Tumblr, many fanfic authors publish their stories in order to further spread their work across their fandoms (or domains in which fans from the same genre congregate). This allows the fan-base to actually contact the author on a more personal level rather than just via the comment section.

In addition, fanfiction affect the connection between each other but it also changes one’s reading and writing habits. Motoko Rich’s claim that student standardized reading scores have steadily declined due to online reading (Rich 1). However, measuring one’s aptitude for test taking does not translate to their inclination towards reading. A psychology professor at Michigan State, Linda A. Jackson, agrees when talking about the results of giving low income students internet access: “[The students] were kids who would typically not be reading in their free time… Once they’re on the Internet, they’re reading,” (qtd. in Rich). I have also found that fanfiction actually increases a reader's want to read by means of the survey I conducted. 75.95% of respondents say that they are more motivated to read fanfiction than actual books, which in turn makes it easier for them to read more.“Books are a big time commitment for something I might not like. With fanfiction, I get something I’m already familiar with and will know I’ll enjoy, and they’re much shorter,” said a respondent to my survey. This is because in published works, the author has to include an exposition where they describe the characters and setting. In fanfiction, since it’s based on a world that already exists, the readers already know what the characters and setting look like so the author can jump right into writing their story. Reading online not only increases one’s wish to read, but also improves their writing as well. According to the study done by Jayne C. Lammers and Valerie L. Marsh titled “Going Public”, the young author they had longitudinally studied said that fanfiction had allowed her to stay anonymous and therefore felt more willing to share her works with others than if they had known who she was (Lammers and Marsh 281). By being anonymous, fanfic authors are able to express themselves and produce pieces that they otherwise may not have shared which allows them to further grow as a writer. A fanfiction writer who took my survey said the following:

Real writing, to me, is writing that makes us grow both as readers and writers. When I first started writing, it was through fanfiction. I was horrid at first. But fanfiction gave me a supportive, eager community to be able to continue producing work and subsequently grow into the writer that I am today. Therefore, I can confidently say that fanfiction is a valid alternative to reading and writing.

With the practice of writing fanfiction and support of the community, this author was able to make a name for themselves and eventually grow into the writer as seen above. A writer that may either turn into a published author or a fanfiction author.

[nchyinotes]

Wikidata Hackathon @ Newspeak House

February 3 2018

https://www.eventbrite.co.uk/e/wikidata-hackathon-in-london-all-levels-of-experience-welcome-tickets-42426460686#

Thoughts: So this was kind of my first foray into open knowledge/culture, and there were two parts to this day - the first was learning about wikidata and how to query it and contribute to it. This was pretty cool and actually what I had initially signed up for because I want to get out of my comfort zone/learn a new skill for research, but I did feel a little over my head haha. The second part I actually just found out about on the day, and stayed for. This was a talk about the future of Wikipedia, and it sounds pretty awesome tbh. I came in knowing nothing about Wikipedia, how it works as an organisation (it’s a non profit!), or how the site is maintained or who contributes, or what its missions are. Katherine is a great speaker. And while the talk was obviously very specific to Wikipedia, I think I was able to learn about all sorts of topics I’m interested in - how NGOs operate and are funded, how huge collaborative projects work, acknowledgment of and potential solutions to structural barriers that promote limited diversity in contributors of the collaborative projects, the bias that results from this, the impact of new technology, and their vision and belief in the public good of open knowledge. Was a very well spent day for me.

basic structure of items (neville)

problem: machines don’t understand whats on the pages of wikipedia = hard to do things on a mass scale

the identifier is always the same (Qxxxx)

every concept is an item, it has a page, and it has a Q number

data is stored in statement boxes

statement = to state a fact about someone, its on the item page, with a property (sex or gender = p21, a category which helps you describe the thing) and value (female, london = q84)

big connected web of linked data that machine and human can read = can get mass insight out of the data

anyone can create an item

you can find these through wikipedia pages

it’s multilingual - not stored as english, is stored as data, it’s up to your viewing thing

qualified data - ie. population

finding connections between a linked web of data

how wikidata ties all other wikimedia projects together within the ecosystem (magnus manske)

mediawiki: most widely used wiki software, over 2200 extensions, comprehensive API

used by all projects on wikimedia

wikisource has its own sources for dealing with pages, etc, which have OCR that need to be cleaned up

wikidata: database on top of a database? uses wiki base extension, broader than all wikipedia articles combined, contains wikipedia language links. can be queried and written by machines - what makes it fundamentally different from wikipedia.

wikidata query: run complex queries across all of wikidata. accessible through web interface. eg. largest cities with a female mayor.

wikidata ecosystem - site link statements?

can interrogate or programmatically query wikidata / media info on other / third party sites ??

wikimedia commons (wait what is this) = free digital media archive

scanned pages of book on commons —> transcribed pages on wikisource —> article as transcoded sections from transcribed pages —> wikidata item about the wikisource article. —> wikidata item about the subject described in wikisource article —> wikipedia article about the subject describe in wikisource article (in diff languages)

how the user journey can work

has been turned into a science hub: wikidata holds key data, but is not trying to replicate all the databases! can be used as an intermediary?

contentmine: project to link wikidata to scientific literature

query scientific lit about subject or subject group

using underlying wikidata (base) tech for upcoming projects

wiktionary - right now is broken in to several different languages ?

wiki base for commons - store file metadata, licenses, GPS in wiki base on commons.

Knowledge representation in wikidata (Martin, Oxford)

totally open and free, no restriction on reuse of this dataset, cc0

it’s one database - provides a user interface to the query

wikidata is a collection of billions of facts about people, in triples (semantic database with rdf ??)

connects one identifiable thing to another thing

subject (identity or item) —> property (property) —> object (entity or string or data or quantity)

billions of triples, which connect

describing all human and culture connections in a visual way

wikipedia & data are not to decide what’s true / create truth, but to share what’s already been published from trusted sources

statements themselves can have properties - we have qualifiers and references

start time, end time, reference (URL, entity, DOI)

autocompletes and uses english labels

complication of querying - language independent

Q7259 = attach various labels “Ada Lovelace” “Augusta Ada King” whatever other language

Q7259 (label in english: ada lovelace) —> P22 (father) —> Q5679 (lord byron)

specify what language you want it in, and fallbacks

you can ask a question and wikimedia will answer you with all their database info??

UK parliament = jobs of people in house of ??? besides politicians - judges barely lead

US = all lawyers lol

Q12345 count von camp?? some humour embedded in identifiers. Q13 is fear of number 13.

how to query wikidata (neville)

https://query.wikidata.org/ —> asking complicated questions —> generate timelines, graphs, maps, charts

starting point is a certain structure = looking for items, and i want the occupation to be computer scientist

item

wdt: prefix we need to use so engine knows we’re talking about wikimedia property. CTRL + SPACE = type occupation.

then wd: CTRL + SPACE = type computer scientist.

space, then period at the end

wikidata query service = label service (control space, type label)

SELECT ?item —> SELECT ?itemLabel

makes another column for it

wikibase:language “ar, en” makes the first language arabic, then fallback english!

—> we’ve gotten a list of computer scientists, with their label

what if i don’t know what gender they are? after the wdt, instead of the wd, put ?gender

every new line is another filter on the results = they’re getting shorter and shorter

when you run the data you get visualisation options !!

LIMIT 200 (for number of results that come up)

 ?item wdt:P19 ?birthPlace . = won’t show up as a map because they need actual coordinates

?birthPlace

Link = SPARQL endpoint = .XML (can also add JSON?)

GROUP BY (copy and paste from original SELECT group

so you can use aggregation commands in first line:

sample (picks one random image or whatever type of thing you want)

(SAMPLE(?image) as ?image)

count

* at the end of wdt:P40* (does it an infinite number of times?)

OPTIONAL = when showing child, don’t NEED to show the ones that only have a gender

OPTIONAL { ?child wdt:P21 ?sex_or_gender . }

just put optional around each one?

wdt = property

wd = value

tools

https://www.wikidata.org/wiki/Wikidata:Tools

https://tools.wmflabs.org/

bibliographic power

https://tools.wmflabs.org/scholia/

http://zone47.com/crotos/cosmos - art

shazam for art??  

https://tools.wmflabs.org/monumental/#/ - registered monuments near you

https://tools.wmflabs.org/everythingisconnected/index.html

educational tool

http://histropedia.com/ - interactive, filterable timeline

mix n match - takes catalogues of external identifiers and matches them to wikidata (which ones already exist, and to add the identifiers to it)

wikidata game

wikishootme - everything on wikidata that has coordinates, that’s near you (can add images to the things that don’t!)

free image search tool - find commons images for wikidata items

file candidates - copy free items from flickr to commons to wikidata

wiki federation / federated wiki

co creative stuff happening between servers

“networked knowledge”

http://www.federated.wiki/view/welcome-visitors

holochain

blockchain alternative, (inversion of the) architecture to be much more scalable (not just tokenisation)

peer to peer app ?

DHT (distributed hash tags??) - similar to the way bit torrent holds things, it’s shared out into parts

co hosted architecture - i build my pages on my node running on local hosts,

but data synchronises on back end and grows

—> federated wiki which can outlive individuals + individual servers

shared knowledge network

blockchain is inefficient because it’s trying to do one massive, global ledger

no mining involved, using concepts that have come out of blockchain chains, DHTs, cryptography

monotonic data store - you can’t take away any info can only add new stuff (cryptographic history), all the old versions point to the new versions

working on a visual representation, time stamping, robust flow of information