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Record W4405365103 · doi:10.1522/radm.no8.1834

Les transformations de l’espace et du modèle hybride du travail par les aires ouvertes : les effets du télétravail sur la conciliation entre les vies personnelle et professionnelle

2024· article· fr· W4405365103 on OpenAlexaffvenueabout
Tawfiq Alla, Stéphane Fotis Roume, Diane‐Gabrielle Tremblay

Bibliographic record

VenueAd machina l avenir de l humain au travail · 2024
Typearticle
Languagefr
FieldSocial Sciences
TopicSocial Sciences and Governance
Canadian institutionsUniversité TÉLUQ
Fundersnot available
KeywordsPolitical scienceHumanitiesPhilosophy

Abstract

fetched live from OpenAlex

Après la période de confinement, les aires ouvertes et le télétravail ont progressé. Nous avons étudié six organisations (publiques, privées et en économie sociale) au Québec et effectué des entretiens semi-dirigés (n=66) de février à octobre 2023. Nous avons observé les adaptations dans l’articulation entre le retour progressif au sein de l’aire ouverte et le télétravail à domicile, une flexibilité du temps de travail et enfin, une meilleure conciliation entre les vies personnelle et professionnelle. Cette étude permet d’actualiser des résultats concernant les aires ouvertes, avec l’expansion du télétravail, mettant ainsi en évidence que le lieu de travail s’est significativement déplacé vers le domicile des employés. Cela a engendré une nouvelle organisation horaire et spatiale des familles : la famille est donc une institution qui se voit évoluer en conséquence. Le lieu de travail mis à disposition devient quant à lui, en grande partie, un lieu de socialisation.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.131
Threshold uncertainty score0.261

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.008
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0010.001
Science and technology studies0.0010.002
Scholarly communication0.0060.004
Open science0.0020.003
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0220.002

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 head0.019
GPT teacher head0.274
Teacher spread0.255 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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

Citations3
Published2024
Admission routes3
Has abstractyes

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