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Record W2789070291 · doi:10.22329/wyaj.v34i2.5021

OUT OF THE CLOSET AND UP THE LADDER? DIVERSITY IN ONTARIO’S BIG LAW FIRMS

2018· article· en· W2789070291 on OpenAlexaffvenueabout
Asher Alkoby, Pnina Alon-Shenker

Bibliographic record

VenueWindsor Yearbook of Access to Justice · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicLegal Education and Practice Innovations
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsSexual orientationClosetLesbianNegotiationDiversity (politics)SociologyLegal professionPublic relationsGender studiesPolitical scienceLaw

Abstract

fetched live from OpenAlex

While Canadian law generally provides protection against sexual orientation discrimination, and social acceptance is growing, there are some indications that LGBTQ lawyers face barriers relating to their sexual identity. Although more LGBTQ lawyers are now ‘out at work’, quantitative data is incomplete, and little is known about the actual experience of LGBTQ lawyers, who enter big firms in Ontario with the hope to advance through the ranks. This article begins to address this gap by providing qualitative analysis of the personal experience of LGBTQ lawyers entering the profession and the extent to which in-firm diversity initiatives shape their experience. Three main themes emerged from the interviews. First, racialized gay lawyers more consciously described their experiences at big law firms as negative and related it to their minority status. Second, the interviews offer insight into the ways in which gays and lesbians are forced to negotiate and perform their identity in a heteronormative workplace. Finally, the insights gleaned from the interviews suggest that the diversity programs devised by law firms may have helped diversify the lower ranks of law firms, but they seem to have failed to address the barriers that equity-seeking groups continue to face in retention and advancement through the ranks. The heteronormative organizational culture, as well as the promotion and compensation structures in firms continue to drive the composition of the leadership ranks and it arguably perpetuates homogeneity.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.530
Threshold uncertainty score0.649

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
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 head0.141
GPT teacher head0.384
Teacher spread0.243 · 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 designObservational
Domainnot available
GenreEmpirical

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
Published2018
Admission routes3
Has abstractyes

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