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Record W3177216963 · doi:10.3917/lps.203.0075

Concilier emploi et famille en temps de pandémie : les résultats d’une recherche au Québec

2020· article· fr· W3177216963 on OpenAlex
Diane‐Gabrielle Tremblay, Sophie Mathieu

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

VenueLes Politiques Sociales · 2020
Typearticle
Languagefr
FieldSocial Sciences
TopicWork-Family Balance Challenges
Canadian institutionsUniversité TÉLUQ
Fundersnot available
KeywordsPolitical scienceHumanitiesPhilosophy

Abstract

fetched live from OpenAlex

Au Québec, le contexte de pandémie de Covid-19 s’est traduit par des transformations radicales de l’organisation du travail. On est passé d’un taux d’environ 15 % d’organisations proposant le télétravail à 40 % en mai 2020. Comment les parents ont-ils vécu leur situation de conciliation travail-famille dans cette province où promor ? Comment les employeurs se sont-ils comportés face à leurs salariés en situation de télétravail ? Est-ce que le soutien organisationnel offert, en termes de réduction des attentes et du niveau de compréhension de l’employeur, est différent selon le genre, le type d’organisation et la catégorie d’emploi ? Afin de répondre à ces questions, nous analysons les données d’une enquête effectuée en mai 2020 auprès de 2 293 travailleurs québécois qui ont des enfants.

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)0.004
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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.495
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.003
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0020.002
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 head0.346
GPT teacher head0.421
Teacher spread0.075 · 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