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Record W4390583164 · doi:10.1111/ntwe.12287

Does the welfare regime impact the telework gender stress gap?

2024· article· en· W4390583164 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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueNew Technology Work and Employment · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicWork-Family Balance Challenges
Canadian institutionsUniversité de MontréalUniversité Laval
Fundersnot available
KeywordsWelfareMainstreamWork (physics)Demographic economicsIsolation (microbiology)Coronavirus disease 2019 (COVID-19)WageStress (linguistics)PsychologyModerationPolitical scienceLabour economicsEconomicsBusinessSocial psychologyEngineeringMedicine

Abstract

fetched live from OpenAlex

Abstract After decades of slow diffusion, the acceptance of telework has dramatically accelerated during the pandemic crisis, becoming a mainstream work practice. However, little is still known on the impact of telework design on employee stress, particularly when stress is high due to a major health crisis, at a time when it is crucial that organizations help buffer it. Using the welfare regime literature, we study the effects of telework demands/resources factors on stress and the moderating effects of gender in more or less egalitarian welfare regimes, during a pandemic crisis. Analyzing data collected from 4602 respondents in France and Quebec, we find that telework demands (family interference with work, organizational isolation, emotional isolation) impact stress positively in both welfare regimes. We also find that the gender stress gap is higher in a more gender‐inegalitarian welfare regime than in a more gender‐egalitarian welfare regime. Men's and women's stress is not impacted in the same manner in the two contexts studies. Contributions to research and practice are discussed, along with limitations and potential future research avenues.

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)0.000
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.764
Threshold uncertainty score0.702

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.028
GPT teacher head0.313
Teacher spread0.285 · 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