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Record W2052385265 · doi:10.1080/13668800902753911

Weekend-based short workweeks: peripheral work or facilitating ‘work–life balance’?

2009· article· en· W2052385265 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.
fundA Canadian funder is recorded on the work.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueCommunity Work & Family · 2009
Typearticle
Languageen
FieldSocial Sciences
TopicWork-Family Balance Challenges
Canadian institutionsUniversity of GuelphMcMaster UniversityMemorial University of Newfoundland
FundersSocial Sciences and Humanities Research Council of CanadaMemorial University of NewfoundlandMcMaster University
KeywordsWork–life balanceWork (physics)Balance (ability)Work hoursJob satisfactionDemographic economicsPsychologyWork schedulePaid workWonderTemporary workWorking hoursGerontologyLabour economicsSocial psychologyMedicineEconomicsEngineering

Abstract

fetched live from OpenAlex

This research focuses on those working weekends and also having a workweek of 20 hours or less, which we define as having a weekend-based short workweek (WBSW). The purpose of this paper is to examine the characteristics of workers with a WBSW, with emphasis on gender, family status, and work–life balance. To our knowledge, this is the first study examining work schedules having overlapping characteristics of both weekend work and part-time hours. The country of research for this study is Canada. We found that workers with a WBSW are more likely to be female, but less likely to be married or have dependent children. They are also more likely to be younger, less educated, less experienced, and low-waged. Nonetheless, job satisfaction among those with a WBSW is only slightly lower than those without one. Moreover, we found a group of older, married females with high job satisfaction notwithstanding having a WBSW. We presume that some have managed to balance the substantial work, economic, and family obligations that they face, but also wonder whether some have become resigned to their available employment options rather than having found decent work per se.

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)0.003
metaresearch head score (Gemma)0.002
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.198
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.003
Science and technology studies0.0030.001
Scholarly communication0.0000.000
Open science0.0030.000
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0010.000

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 head0.085
GPT teacher head0.331
Teacher spread0.247 · 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