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L’interprétation des instruments de l’Organisation internationale du travail : perspectives internationale et comparée

2016· dissertation· W7147727722 on OpenAlexaboutno aff
Rachid Nacer

Bibliographic record

Venuenot available
Typedissertation
Language
FieldSocial Sciences
TopicInternational Labor and Employment Law
Canadian institutionsnot available
Fundersnot available
KeywordsEconomic JusticeContext (archaeology)General interestWork (physics)

Abstract

fetched live from OpenAlex

Alors que la question de l’interprétation pose de nombreuses questions, tant en matière institutionnelle que substantielle, au sein même de l’Organisation internationale du travail (OIT), le regain d’intérêt pour les travaux de cette dernière, reflété notamment par un certain nombre de décisions de justice nationales, conduit à une situation où la question de l’interprétation de ses instruments se trouve renouvelée, complexifiée et fragmentée devant la pluralité des acteurs qu’elle implique. L’objectif de cette thèse est de s’interroger pour savoir si ce phénomène permet de rendre effectifs des textes adoptés afin de donner corps à la justice sociale. Autrement dit, il s’agit de se demander si cette configuration garantit la diffusion et la conservation de la substance des normes internationales du travail et les rend aptes à répondre à des problématiques mouvantes. Pour y parvenir, il convient de procéder à une analyse successive de différents niveaux dans lesquels ceux-ci sont susceptibles d’être utilisés, en s’intéressant successivement au cadre international puis aux cas français, canadien et sud-africain. Ce procédé permet de faire ressortir les subtilités procédurales et substantielles propres à chacun des cadres de mise en œuvre des normes internationales du travail et de révéler les interactions pouvant découler sur la formation d’un système.

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)0.010
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 score0.026
Threshold uncertainty score0.091

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.009
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.007
Science and technology studies0.0080.052
Scholarly communication0.0260.019
Open science0.0020.006
Research integrity0.0050.009
Insufficient payload (model declined to judge)0.0080.001

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 head0.021
GPT teacher head0.324
Teacher spread0.303 · 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".

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Citations0
Published2016
Admission routes1
Has abstractyes

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