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Record W2415350063 · doi:10.3917/ror.111.0021

Le télétravail, comme nouveau mode de régulation de la flexibilisation et de l’organisation du travail : analyse et impact du cadre légal européen et nord-américain

2016· article· fr· W2415350063 on OpenAlexaff
Arnaud Scaillerez, Diane‐Gabrielle Tremblay

Bibliographic record

VenueRevue de l’organisation responsable · 2016
Typearticle
Languagefr
FieldSocial Sciences
TopicDigital Economy and Work Transformation
Canadian institutionsUniversité du Québec en OutaouaisUniversité TÉLUQUniversité du Québec à Montréal
Fundersnot available
KeywordsPolitical scienceHumanitiesMolecular biologyPhilosophyBiology

Abstract

fetched live from OpenAlex

Les entreprises, comme les salariés, sont à la recherche de davantage de flexibilité. Le télétravail peut apporter une réponse à leurs attentes puisqu’il engendre une flexibilité spatio-temporelle du travail. Ce dispositif nécessite néanmoins de repenser l’organisation du travail. Pour encadrer le télétravail, il est donc indispensable d’établir des règles aussi bien pour protéger les intérêts des entreprises que des salariés. Or, le cadre légal actuel est insuffisant tant en Amérique du Nord, qu’au sein de l’Union Européenne. Notre étude a pour but à la fois d’exposer le cadre juridique européen et nord-américain, pour ensuite en mesurer l’impact sur la flexibilisation et l’organisation du travail au sein de l’entreprise.

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)0.002
metaresearch head score (Gemma)0.004
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 score0.200
Threshold uncertainty score0.397

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0020.003
Scholarly communication0.0090.004
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0140.001

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 head0.026
GPT teacher head0.312
Teacher spread0.287 · 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

Citations37
Published2016
Admission routes1
Has abstractyes

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