Bibliographic record
Abstract
The 2019 Met Gala’s theme was based on the Susan Sontag essay “Notes on Camp,” and the celebrity attendees had a broad range of interpretations. The look that caused the most controversy was worn by the reality TV star Kim Kardashian, in a Thierry Mugler dress and Mr. Pearl corset. Rather than focus on the design, the first for Mugler since 2002, or how the dress fit into the theme, critics instead chose to focus on the corset and repeat a rhetoric about the controversial garment that has been recurrent for over a hundred years. There is a long tradition of opposition to corsets, including claims that the accessory is bad for the health of the wearer, that corsets are unnatural, and that they are anti-feminist. This article explores the history of corsets, health, popular culture, and fashion, using Kardashian as a contemporary source of examination. Kardashian’s body is a site of controversy, much like corsets, as she wears and sells shapewear. The critique of Kardashian’s use of modern shapewear reflects a long tradition of controlling women’s bodies through dress reform and medical intervention, a debate the Met Gala dress reignited.
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 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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".