MétaCan
Menu
Back to cohort
Record W4385721687 · doi:10.59962/9780774850049

Gender in the Legal Profession

2007· book· en· W4385721687 on OpenAlexaboutno aff
Joan Brockman

Bibliographic record

VenueUniversity of British Columbia Press eBooks · 2007
Typebook
Languageen
FieldSocial Sciences
TopicLegal Education and Practice Innovations
Canadian institutionsnot available
Fundersnot available
KeywordsLegal professionPolitical scienceLawEngineering ethicsEngineering

Abstract

fetched live from OpenAlex

The history of the legal profession in Canada and elsewhere is one of the exclusion of women, Aboriginals, ethnic and racial minorities, and those from less privileged classes. Based on face-to-face interviews with 50 women and 50 men called to the Bar in British Columbia during the past 3-7 years, Joan Brockman has studied this phenomenon and tried to determine reasons why such exclusion has been practised and what its effects have been, particularly with respect to women. Although legal barriers that historically prevented women from entering the legal profession have been removed, informal and structural barriers that impede women's full participation within the profession remain. Much of the discrimination still experienced stems from expectations that women, in particular, will assume primary responsibilities for child care, elder care, emotional stability in the home, household management, and other domestic matters. In addition, some women still experience sexual harassment and discrimination even if they have managed to reduce or avoid additional domestic responsibilities. There have, to be sure, been changes and accommodations made for women in the legal workforce, and men as well as women have helped to make them. But, Brockman concludes, until there is significant change in how women are perceived in relation to domestic duties, it is unlikely that they will attain equality within the legal profession. The profession will only change when perceptions of the family change, at which point women will not only fit the mould at work, but men also will fit the mould at home.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.146
Threshold uncertainty score0.502

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.047
GPT teacher head0.297
Teacher spread0.250 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

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".

Quick stats

Citations5
Published2007
Admission routes1
Has abstractyes

Explore more

Same venueUniversity of British Columbia Press eBooksSame topicLegal Education and Practice InnovationsFrench-language works237,207