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Record W2796348969 · doi:10.1080/09695958.2018.1456435

Parental-leave policy for male lawyers in Helsinki and Montreal: cultural and professional barriers to male lawyers’ use of paternity and parental leaves

2018· article· en· W2796348969 on OpenAlexafffundabout
Marta Choroszewicz, Diane‐Gabrielle Tremblay

Bibliographic record

VenueInternational Journal of the Legal Profession · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicGender Diversity and Inequality
Canadian institutionsUniversité du Québec à MontréalUniversité TÉLUQ
FundersSocial Sciences and Humanities Research Council of CanadaElla ja Georg Ehrnroothin Säätiö
KeywordsEthosStatutory lawParental leaveOutreachWork (physics)SociologyLawPolitical scienceGender studies

Abstract

fetched live from OpenAlex

Family policies in Finland and French Canada (Québec) include fathers’ rights to paternity and parental leaves, which have resulted in more fathers using parental leave. Yet this policy has a limited outreach to male-dominated professions, including the legal profession. In this article, we examine attitudes to paternity and parental leaves among male lawyers and the motives behind their decisions to use or not use them. We approach the issue from the perspective of the legal profession’s professional ethos, which impacts lawyers’ attitudes and practices regarding work-life balance. In our analysis, we draw on 20 Finnish and 18 Quebecois interviews with current and former male lawyers from private law practices in two urban civil-law contexts: Helsinki, Finland and Montreal, Canada. The findings indicate that, in traditionally male-dominated professions, it is not enough to provide men with a statutory right to paternity and parental leave. There is also a need for organisational solutions and peer encouragement in the work environment so that men feel comfortable taking leave.

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 score0.029
Threshold uncertainty score0.838

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 communication0.0000.001
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 head0.084
GPT teacher head0.376
Teacher spread0.292 · 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

Citations13
Published2018
Admission routes3
Has abstractyes

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