Bibliographic record
Abstract
Across North America a growing body of “chilly climate” research documents the role played by environmental factors in reproducing gender inequality: practices that stereotype, exclude and devalue women are persistently powerful forces in creating “glass ceilings” and maintaining “pink ghettos.” Women academics in North American universities and colleges offer an especially striking case for such research. Precisely because of their elite status, the accounts now emerging of the “chilly climate” faced by academic women throw into sharp relief the mechanisms that foster gender inequity throughout North American society. Collected in this volume are a number of reports and commentaries on “climate issues” as they affect women faculty in Canadian universities. They include Sheila McIntyre’s Memo , an account of gender harassment in the context of a law school that was first circulated in 1986; two reports by and about women faculty at the University of Western Ontario that were inspired by McIntyre’s Memo ; accounts of the reactions of male colleagues, the administration and the media to “climate” studies; and several chapters that critically reframe the discussion of chilly climate practices in terms of questions of race and sexual identity. Taken together, these reports and discussions demonstrate the importance of addressing the environmental roots of women’s continuing inequity both within and outside contemporary academia. They communicate specific experiences which testify to the existence of a chilly climate in our universities, and call into question any supposition that women and men have achieved equity to the degree that they could be said to work in “the same” environment in these institutions.
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 | 0.009 | 0.039 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.012 | 0.010 |
| Scholarly communication | 0.016 | 0.021 |
| Open science | 0.003 | 0.016 |
| Research integrity | 0.005 | 0.008 |
| Insufficient payload (model declined to judge) | 0.117 | 0.043 |
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".