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Career Paths in Spain: Gendered Division of Labour and Informal Employment

2013· article· fr· W96084835 on OpenAlexvenueno aff
Teresa Torns, Pilar Carrasquer, Sara Moreno, Vicent Borràs Catalá

Bibliographic record

VenueInterventions économiques · 2013
Typearticle
Languagefr
FieldHealth Professions
TopicEmployment and Welfare Studies
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesDivision of labourPolitical scienceSociologyArt

Abstract

fetched live from OpenAlex

L’article présente une analyse comparative des trajectoires professionnelles masculines et féminines visant à étudier le rôle que joue la division sexuelle du travail dans le modèle de l’emploi espagnol. Les résultats montrent la persistance de la division sexuelle du travail et sa contribution à l’élaboration des trajectoires professionnelles, où le secteur informel apparaît comme l’un de ses traits distinctifs. Une réalité qui, bien que présente partout en Europe, diffère selon le contexte socioculturel et productif de chaque pays. Dans le cas espagnol, celle-ci devient réalité en temps de crise et met en évidence l’existence d’un continuum entre l’emploi formel et le travail informel, que nous avons observé à travers les trajectoires analysées. Nos résultats illustrent les différences entre les hommes et les femmes et confirment que la division sexuelle du travail persiste.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.188
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.000

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 head0.099
GPT teacher head0.370
Teacher spread0.271 · 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.

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

Citations19
Published2013
Admission routes1
Has abstractyes

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