![]() ![]() Hers is a long-term decision of daring self-improvement, and theirs represents a passing moment of obstinate bad judgement.Ĭonflation of the adult and the pre-adult is not something a civilization can long maintain. **Īnd this why we paired Yamara showing off her new “guns” with the bitter pathos of seedy men in matching children’s dresses: They are unequal opposites. Add a prepubescent gender reversal, and the distinction between one of these guys and a roving molester gets that much thinner. And we mean “clowns” literally: Circus clowns are scary to many kids because they are adults acting like children. There is no way to explain fantasy roleplaying as being for adults with these clowns walking around. This is not something the “straights” can get their head around, nor should they. We also have the deepest respect for the transgendered and -vested respect for the playful side, as well as respect for the serious challenges that such a life entails.Īnd, importantly, whatever non-life-threatening kink gets consenting adults off in private is their business, and not anyone else’s.īecause grown men should not be going around in public dressed as underage schoolgirls. So we’ve been careful not to take easy potshots at fandom. Sadly, and unsurprisingly, the powerful often refuse to act adult. ![]() Luxuriating over taking the p!$$ out of the neurotic among us is a vile practice that is better left behind in high school. Long have we been annoyed by the creators of such series as Star Trek and Buffy for taking precious screen time to gleefully reinforce negative fannish and gamer stereotypes. These Sailor Moonboys were walking around the streets of Milwaukee in broad daylight, wolfing down hot dogs, and trotting breathily to some GenCon appointment for which they dared not be late, their cases of gaming supplies jammed under their sweaty, costumed armpits. Posted Online: April 27, 2006.Īround the millennium, the Sailor Moon phenomenon reached larp speed, and we began to encounter some of the most horrific images in all cosplaydom. To learn more, see the privacy policy.First published: March, 2001. Please note that Describing Words uses third party scripts (such as Google Analytics and advertisements) which use cookies. Special thanks to the contributors of the open-source mongodb which was used in this project. As you'd expect, you can click the "Sort By Usage Frequency" button to adjectives by their usage frequency for that noun. The "uniqueness" sorting is default, and thanks to my Complicated Algorithm™, it orders them by the adjectives' uniqueness to that particular noun relative to other nouns (it's actually pretty simple). You can hover over an item for a second and the frequency score should pop up. The blueness of the results represents their relative frequency. If anyone wants to do further research into this, let me know and I can give you a lot more data (for example, there are about 25000 different entries for "woman" - too many to show here). In fact, "beautiful" is possibly the most widely used adjective for women in all of the world's literature, which is quite in line with the general unidimensional representation of women in many other media forms. ![]() On an inital quick analysis it seems that authors of fiction are at least 4x more likely to describe women (as opposed to men) with beauty-related terms (regarding their weight, features and general attractiveness). Hopefully it's more than just a novelty and some people will actually find it useful for their writing and brainstorming, but one neat little thing to try is to compare two nouns which are similar, but different in some significant way - for example, gender is interesting: " woman" versus " man" and " boy" versus " girl". The parser simply looks through each book and pulls out the various descriptions of nouns. Project Gutenberg was the initial corpus, but the parser got greedier and greedier and I ended up feeding it somewhere around 100 gigabytes of text files - mostly fiction, including many contemporary works. Eventually I realised that there's a much better way of doing this: parse books! While playing around with word vectors and the " HasProperty" API of conceptnet, I had a bit of fun trying to get the adjectives which commonly describe a word. The idea for the Describing Words engine came when I was building the engine for Related Words (it's like a thesaurus, but gives you a much broader set of related words, rather than just synonyms).
0 Comments
Leave a Reply. |
Details
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |