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Record W317985992

Maybe They're Phasing Us In: Re-Mapping Fantasy Tropes in the Face of Gender, Race, and Sexuality

2008· article· en· W317985992 on OpenAlexaboutno aff
Nalo Hopkinson

Bibliographic record

VenueJournal of the fantastic in the arts · 2008
Typearticle
Languageen
FieldSocial Sciences
TopicMedia, Gender, and Advertising
Canadian institutionsnot available
Fundersnot available
KeywordsVisual artsCraftExhibitionThe artsFace (sociological concept)ArtSociology
DOInot available

Abstract

fetched live from OpenAlex

I'M PRIMARILY A FICTION WRITER, BUT I'M ALSO A CRAFTSPERSON. A FEW months ago, a craft project of mine began to morph in some really interesting ways. am not a visual artist, although as an arts consultant and former arts grants officer, I've done work in the visual arts community for years. primary partner, who is a visual and multimedia artist by training, convinced me that what had was a budding mini art installation. In fact, it dovetails quite nicely with a photo-based art project that he's currently developing, so he and have been talking about perhaps having a joint show sometime down the road. That's a frightening and exhilarating prospect for me. could probably safely say that flopsweat has driven much of my artistic development, so I've learned to pay attention to when an idea frightens me. Today I'm going to present the kernel of my project to you. The actual art piece is relatively small, but bulky enough that didn't want to lug it from Toronto to here. Instead, I'm going to give you something of a slide show. Presenting a work of mine that's 3D is something I've never done before. So this is a test drive, and you are my test audience. I'm hoping that you'll give me your reactions and can thereby improve the piece, which is part one of a project I'm calling My Little Pony Girl. First, a bit of preamble. grew up in the Caribbean, which, by nature of its long history of colonization and forced immigration, is quite a racially diverse region of the world. I've discovered that in North America, many people assume that Caribbean equals black and nothing else, but that's not so. Although black folks are in the majority, you can find every race under the sun there, and every possible mixture of races. I, while phenotypically and culturally black, also have Scottish, Jewish, South Asian, and possibly Arawak ancestry in my background. When you're a diasporic African, this is what black looks like. I've been reading science fiction and fantasy since was a child, including some of the core older works that inform the literature, such as folklore, ancient epic tales (Homer's Iliad, for instance), and dystopian and satirical fiction such as Gulliver's Travels. From those, it was a short step to contemporary science fiction and fantasy. also grew up watching all kinds of genre fiction on television and in movies; those were the types of stories preferred, and still do. was born in 1960, so that'll give you some sense of the era in which was a child watching science fiction, fantasy, mysteries, and westerns on television. No Blade movies, and only one Star Trek, with only two people of color as regulars in the cast. As a child, did vaguely wonder at some of the mind games that were demanded of me when there were depictions of race on the screen. For example, why did Charlie Chan look like Warner Oland, a Swedish actor, or, more recently, like British actor Peter Ustinov? But dutifully performed the mental gymnastics required. By the time I Dream of Jeannie came around--the first time--I was so used to it that it didn't occur to me to wonder why a djinni, a mythical Middle Eastern creature, looked like Barbara Eden? [FIGURE 1 OMITTED] And not more like, maybe, this? (See fig. 1.) And didn't wonder much about the fact that the overwhelming majority of people saw on the screen were white, even though whiteness, worldwide, is in the minority. Most of the films and television at that time were imported from the US and the UK, so one just expected that they would show mostly white people, as did the products in our grocery stores, the magazines we read, and the ads in our newspapers. That, thankfully, has changed as more and more Caribbean media have come into being. Still, the first time that someone said to me, when was well into my 30s, that the aliens and fairies and what-have-you in science fiction and fantasy could be seen as stand-ins for people of color, didn't know what they were talking about. …

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.005
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.265
Threshold uncertainty score0.325

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.091
GPT teacher head0.341
Teacher spread0.250 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2008
Admission routes1
Has abstractyes

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