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Le secteur informel en Inde: effets de la mondialisation et des réformes

2010· article· fr· W2064203270 on OpenAlexaff
Eckhard Siggel

Bibliographic record

VenueRevue internationale du Travail · 2010
Typearticle
Languagefr
FieldEconomics, Econometrics and Finance
TopicTaxation and Compliance Studies
Canadian institutionsConcordia University
Fundersnot available
KeywordsPolitical scienceHumanitiesPhilosophy

Abstract

fetched live from OpenAlex

Résumé. La mondialisation et les réformes économiques ont habituellement une incidence sur le secteur formel, tandis que le secteur informel fonctionne en marge de la réglementation. Cependant, les liens multiples qui existent entre eux affectent ce dernier de diverses manières. La segmentation du marché du travail et les migrations étaient traditionnellement utilisées pour expliquer ces effets: les travailleurs licenciés du secteur formel augmentent l'offre de travail informel, d'où une diminution des salaires et un accroissement de la pauvreté. L'auteur examine si cette hypothèse se vérifie en Inde, suite aux réformes économiques des années quatre‐vingt‐dix, et il trouve un modèle plus adapté, reposant à la fois sur l'augmentation de l'offre et de la demande de travail, sous l'action de l'externalisation, des transferts de compétences et de la création d'entreprises.

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 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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.467
Threshold uncertainty score0.981

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.017
GPT teacher head0.236
Teacher spread0.218 · 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 teacher head, not a consensus.

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

Citations0
Published2010
Admission routes1
Has abstractyes

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