Bibliographic record
Abstract
“It’s a girl!” the Ontario press announced, as Canada’s first woman lawyer was called to the Ontario bar in February 1897. Quiet Rebels explores experiences of exclusion among the few women lawyers for the next six decades, and how their experiences continue to shape gender issues in the contemporary legal profession. Mary Jane Mossman tells the stories of all 187 Ontario women lawyers called to the bar from 1897 to 1957, revealing the legal profession’s gendered patterns. Comprising a small handful of students—or even a single student—at the Law School, women were often ignored, and they faced discrimination in obtaining articling positions and legal employment. Most were Protestant, white, and middle-class, and a minority of Jewish, Catholic, Black, and immigrant women lawyers faced even greater challenges. The book also explores some changes, as well as continuities, for the much larger numbers of Ontario women lawyers in recent decades. This longitudinal study of women lawyers’ gendered experiences in the profession during six decades of social, economic, and political change in early twentieth-century Ontario identifies factors that created—or foreclosed on—women lawyers’ professional success. The book’s final section explores how some current women lawyers, despite their increased numbers, must remain “quiet rebels” to succeed.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.012 | 0.002 |
| Scholarly communication | 0.009 | 0.004 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.371 | 0.150 |
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".