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Record W2920581019 · doi:10.7202/1056302ar

Quel droit du travail à l’ère des plateformes numériques ?

2019· article· fr· W2920581019 on OpenAlexvenueno aff
Gwenola Bargain

Bibliographic record

VenueLien social et Politiques · 2019
Typearticle
Languagefr
FieldSocial Sciences
TopicDigital Economy and Work Transformation
Canadian institutionsnot available
Fundersnot available
KeywordsPolitical scienceHumanitiesPhilosophy

Abstract

fetched live from OpenAlex

Le développement du recours au travail par intermédiation numérique s’accompagne de l’essor du travail à la demande, dans un contexte de reconfiguration des rapports de production. Le modèle économique des plateformes numériques, désigné par le terme d’« ubérisation », repose sur le recours à une main-d’oeuvre flexible, disponible, peu coûteuse et supportant les risques de l’activité. Le débat juridique se cristallise alors autour des tentatives de qualification, sur fond de contentieux impliquant les entreprises phares de cette « industrie » : le travailleur du numérique est-il un salarié, un indépendant, un semi-indépendant ? Faut-il créer un statut propre à cette forme d’activité ? L’enjeu de l’adaptation du droit du travail à cette révolution numérique implique alors de considérer la dépendance économique dans laquelle se trouvent les travailleurs de cette économie pour déterminer les voies menant à l’amélioration de leur protection. Cette étude examine ces questions au regard du cadre juridique français.

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)0.009
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.038
Threshold uncertainty score0.097

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.009
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.002
Science and technology studies0.0020.009
Scholarly communication0.0090.009
Open science0.0020.003
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0290.004

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 head0.017
GPT teacher head0.281
Teacher spread0.265 · 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 designTheoretical or conceptual
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
Published2019
Admission routes1
Has abstractyes

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Same venueLien social et PolitiquesSame topicDigital Economy and Work TransformationFrench-language works237,207