MétaCan
Menu
Back to cohort
Record W4393853054 · doi:10.1093/jpo/joae005

The customer is always right? Corporate client influence and women’s attainment in large US law firms

2024· article· en· W4393853054 on OpenAlexafffund
Fiona M. Kay, Elizabeth H. Gorman

Bibliographic record

VenueJournal of Professions and Organization · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicGender Diversity and Inequality
Canadian institutionsQueen's University
FundersSocial Sciences and Humanities Research Council of CanadaLaw School Admission Council
KeywordsGender diversityRepresentation (politics)Diversity (politics)Corporate lawBusinessIndependence (probability theory)Power (physics)Public relationsCorporate governanceLawPolitical sciencePoliticsFinance

Abstract

fetched live from OpenAlex

Abstract Drawing on resource dependence and new institutional theories, this article examines the impact of corporate clients on the representation of women among associates and partners of large US law firms. We investigate the influence of women in corporate executive positions, women corporate chief legal officers, and clients who join in collective efforts to advocate for law firm diversity, as well as the role of power and dependence in client–firm relationships. We use longitudinal data on 665 law offices from the 2005 and 2010 editions of the NALP Directory of Legal Employers and incorporate client characteristics from the 2005 National Law Journal client list. We find that women executives among a firm’s corporate clients are linked to greater representation of women among law firm associates, but we observe no effects among partners, and scant effects of client participation in a key collective advocacy effort. Firm independence from client power is negatively linked to gender diversity among associates, while client independence from firm power is positively associated with women’s representation at both the associate and partner levels. In addition, firm independence from client power weakens the influence of female and activist corporate leaders on gender diversity in the case of associates but strengthens their influence in the case of partners.

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.249
Threshold uncertainty score0.612

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 science0.0000.000
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 head0.031
GPT teacher head0.293
Teacher spread0.262 · 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

Citations1
Published2024
Admission routes2
Has abstractyes

Explore more

Same venueJournal of Professions and OrganizationSame topicGender Diversity and InequalityFrench-language works237,207