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Record W4388980754 · doi:10.1080/13668803.2023.2275975

Work-family justice – meanings and possibilities: introduction to the work and family researchers network special issue

2023· article· en· W4388980754 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueCommunity Work & Family · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicWork-Family Balance Challenges
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsScholarshipWork (physics)Economic JusticeSociologyEngineering ethicsPoliticsPublic relationsPolitical scienceLawEngineering

Abstract

fetched live from OpenAlex

Work-Family Justice is a key organizing concept centering intellectual and policy work that call attention to tensions and challenges in work and family integration, and that highlight key solutions. This special issue extends knowledge about structural, cultural, historical, and political (including geopolitical) oppressions that inform the range of diverse work-family conflict complexities and presents building blocks to sustain healthier work and family lives. Work-family justice allows for safe, decent, and meaningful work, supported care for dependents, and strong family relations though the life course. It addresses inequalities between and across groups and cultures. We build upon earlier rigorous scholarship ascertaining the best supports for a healthy and fulfilled workforce and populace, which can advance equality and profit national wellbeing. The special issue highlights exceptional individual research studies, that -- as a whole -- elevates work-family scholarship and the solutions that can enhance work-family justice.

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.

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)0.010
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.416
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0100.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.006
Science and technology studies0.0050.002
Scholarly communication0.0010.000
Open science0.0020.001
Research integrity0.0000.002
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 head0.086
GPT teacher head0.339
Teacher spread0.252 · 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