“Palpably Ugly” or “beauty of their form”?: Corsets in Toronto periodicals, 1871-1914
Bibliographic record
Abstract
At the turn of the twentieth century in Toronto, articles in local newspapers and magazines exposed women to disparate views on corsets. On one side of the argument were dress reformers who advised women to do away with corsetry for the sake of their health and wellbeing. On the other side, were fashion journalists who advised them about current styles, which often oscillated from year-to-year. Despite this disparity, corsets were an ever-present foundation of nineteenth century fashion, to the extent that they were a frequent, sexy addition to crime reporting. The exaggerated stories in the media subjected women to a tug-of-war over their body autonomy. This article is based on content analyses of periodicals and exposes how corsets were presented in Toronto periodicals such as The Toronto Star, The Globe, and The Canadian Dried Goods Review, among others.
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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 | 0.000 | 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 | 0.000 | 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) | 0.002 | 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".