MétaCan
Menu
Back to cohort
Record W2589108753

Work-Family Balance: Origins, Practices and Statistical Portrait from Canada and France

2017· article· en· W2589108753 on OpenAlexaboutno aff
Sondes Turki

Bibliographic record

VenueE-Journal of international and comparative labour studies · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicWork-Family Balance Challenges
Canadian institutionsnot available
Fundersnot available
KeywordsAppeasementWork–life balanceSpillover effectFlexibility (engineering)Balance (ability)Separate spheresWork (physics)Public policySociologyDemographic economicsPolitical scienceSocial psychologyLabour economicsEconomicsPsychologyEconomic growthManagement
DOInot available

Abstract

fetched live from OpenAlex

This study examines the concepts contributing to the notion of work-life balance. It first presents “identity at work “, based on social and recognition theories. This concept leads to a more complex factor; namely the boundaries between work and private life. The transition between these two roles is based on flexibility and permeability and leads to the segmentation or integration of roles played by the individual in his or her daily life. Integration leads to spillovers that can be both positive and negative. Work-family conflict represents a negative spillover and it is a source of pressure, tension, and anxiety for the individual. In contrast, a spillover can be positive and results in enrichment. Finding a work-life balance is not only an individual responsibility as even governments and organizations have an important role to play. Work-life balance practices are classified into two categories:  working time planning policies and appeasement policies for work-family conflict. The study then uses statistical data from OECD to analyze and compare the effect of public work-family balance policies on maternal employment rates in Canada and France. Results indicate a link between the employment rates and the public appeasement policies in these two countries: appeasement policies help mothers to stay in the labour market

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)0.000
metaresearch head score (Gemma)0.001
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 score0.138
Threshold uncertainty score0.905

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
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 head0.074
GPT teacher head0.380
Teacher spread0.306 · 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
Published2017
Admission routes1
Has abstractyes

Explore more

Same venueE-Journal of international and comparative labour studiesSame topicWork-Family Balance ChallengesFrench-language works237,207