Professional monopolies and divisive practices in law: ‘les femmes juridiques’ in civil law, Canada
Bibliographic record
Abstract
This paper examines women’s entry and advancement within Québec’s, civil law tradition of a dual system ofnotairesandavocatsin law practice. The two arms of the profession have developed along exclusive legal jurisdictions codified through law, contrasting professional structures, and different styles of legal practice. Yet, they share a common foundation through law school and professional training and their respective practices of law occasionally overlap and conflict in the competition for clientele, services and professional status. Women’s representation in Québec law practice has risen to nearly fifty percent and their entry to law in large numbers coincides with the emergence of exclusionary processes within and across the professional divide. Bourdieu’s theory of cultural capital provides new insight to gendered career dynamics in law practice, specifically an understanding of cultural repertoires of resources mobilised in successful careers, resources that are also at the centre of disputes over the professional status and legal jurisdictions betweennotairesandavocats. The analysis demonstrates that women and men within these two professional groups are not only equipped with differential stocks of capital, but that the conversion rates also differ. Particularly among theavocats, men receive greater exchange on their investments in human and social capitals and their cultivated ‘habitus’ also better enables men to garner enhanced job rewards.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.031 | 0.007 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.007 | 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".