Bibliographic record
Abstract
To posit women in the position of subject, to make their everyday lives the victuals of theatre creation, is a conspicuous place to begin. This means – in the case of adolescent girls – that we are beginning with their gendered (classed, racialized, stigmatized), and often objectified bodies. Here is what we know in Canada about adolescent girls’ relationships to their bodies, or the impact of oppression on the female body: 80-90 per cent of young women come to dislike their bodies, 70 per cent are weight preoccupied, 40 per cent engage in yo-yo dieting, and up to 20 per cent develop more serious and health-threatening eating problems (Russell and Rice 21-3). In fact, Vanessa Russell, student program worker for the Toronto Board of Education, and Carla Rice, coordinator of the Women and Body Image Project at Women’s College Hospital, have found that in the time between childhood and adolescence, much of the oppression girls and young women of all races, classes, and sexual orientations experience occurs through their bodies – whether the oppression is based on their gender, race, sexual orientation, physical ability, or a combination of these factors.
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 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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.008 | 0.014 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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 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".