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Record W7075666669

Labour Law, Work and Family

2005· article· en· W7075666669 on OpenAlexaboutno aff

Bibliographic record

VenueKent Academic Repository (University of Kent) · 2005
Typearticle
Languageen
FieldPhysics and Astronomy
TopicTheoretical and Computational Physics
Canadian institutionsnot available
Fundersnot available
KeywordsLabour lawUnpaid workWork (physics)Theme (computing)MainstreamPaid workPoliticsObject (grammar)Industrial relations
DOInot available

Abstract

fetched live from OpenAlex

In recent years, gender has emerged as an important focus of attention in discourse in and around labour law. Gender is gradually moving from the margin to the mainstream of labour law debate, particularly with the development of a 'family-friendly' policy agenda. This book consists of a series of essays from an international selection of leading legal scholars exploring the shifting boundary between work and family from a labour law perspective. The object is to assess the global implications for labour law and policy of women's changing role in paid and unpaid work. The approaches adopted by the contributors' are diverse, both conceptually and geographically, encompassing analyses from Australia, North America, Canada, the UK, Europe and Japan, and including national and supra-national perspectives. Key themes informing the collection as a whole are the re-positioning of unpaid care work as integral to the performance and structure of productive activity; and consideration of the implications of recognizing the interdependence of work and family activities.In this way, the book seeks to develop a central theme from the previously published 'Labour Law in an Era of Globalization' (Conaghan, Fischl and Klare, eds. OUP), as part of an ongoing exploration into the distributive implications of economic and political globalization.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.022
Threshold uncertainty score0.052

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0130.025
Scholarly communication0.0090.005
Open science0.0010.004
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0090.001

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 head0.005
GPT teacher head0.184
Teacher spread0.179 · 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 source (direct Gemma or distilled Codex), not a consensus.

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

Citations0
Published2005
Admission routes1
Has abstractyes

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