E elxs viverão felizes para sempre? (in)visibilidades de personagens LGBTs em produções da Disney como força propulsora de ciberacontecimentos
Bibliographic record
Abstract
A partir dos sentidos que emergiram no Twitter em torno da possibilidade da rainha Elsa, da animação Frozen (2013), ser lésbica, dos beijos entre personagens do mesmo gênero no desenho Star contra as Forças do Mal (2015) e da inserção de uma personagem gay no filme A Bela e a Fera (2017), tensiona-se o que a visibilidade dessas questões em produções da Disney aponta em relação às articulações entre cultura pop, ciberacontecimentos e questões de gênero e de sexualidade. A metodologia empreendida é a de análise de construção de sentidos em redes digitais (HENN, 2014) e, ao final dela, foi possível constatar, em linhas gerais, que a inserção dessas personagens produziu intensa reverberação, entre usuários e portais noticiosos e, ainda, movimentos de apoio e de ojeriza à iniciativa.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.007 |
| Scholarly communication | 0.007 | 0.007 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.017 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".