Fashion Victims: The Pleasures and Perils of Dress in the 19th Century
Bibliographic record
Abstract
Uma narrativa crítica sobre moda, economia, política, moral e estética que contempla produção e consumo, passado e presente, prazer e perigo. Assim é Fashion Victims: The Pleasures and Perils of Dress in the 19th Century (Vítimas da moda: os prazeres e perigos do vestuário no século XIX), exposição temporária instalada em junho de 2014 no Bata Shoe Museum (BSM), em Toronto, Canadá. Organizada por Elizabeth Semmelhack, curadora do museu, e Alison Matthews David, professora de História de Têxteis e Vestuário da The School of Fashion da Ryerson University, a mostra se encerraria em junho de 2016, mas foi estendida até abril de 2018. Graças à prorrogação, tive a oportunidade de vê-la em maio de 2017. [...]
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
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 teacher head, 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".