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Record W2919820088 · doi:10.24215/23468904e067

La inserción laboral de los jóvenes: un concepto histórico, ambiguo y societal

2018· article· es· W2919820088 on OpenAlexaffabout
Éric Verdier, Mircea Vultur

Bibliographic record

VenueCuestiones de sociología · 2018
Typearticle
Languagees
FieldSocial Sciences
TopicYouth Education and Societal Dynamics
Canadian institutionsInstitut National de la Recherche Scientifique
Fundersnot available
KeywordsSociologyHumanitiesPsychologyPhilosophy

Abstract

fetched live from OpenAlex

Los conceptos principales que se utilizan hoy en dí­a para analizar la situación en el mercado laboral de las diferentes categorí­as de fuerza de trabajo son a menudo heredados del periodo de los Trente Glorieuses (N de la T: Edad de oro del capitalismo, en español). Un concepto que se convirtió enun objeto de investigación, que varios trabajos trataron de circunscribir y de definir de varias maneras, es el de inserción laboral. Los objetivos de este artí­culo son: a) mostrar el carácter histórico de la noción de inserción laboral, b) analizar la ambigüedad de sus definiciones proteiformes, utilizadas en gran parte por los investigadores en función de sus preocupaciones especí­ficas de investigación y c) resaltar el aspecto societal de la inserción laboral a partir de una mirada comparativa sobre el contenido de esta concepción y de su utilización en Francia y en Quebec. Este proceso nos llevará a un amplio cuestionamiento sobre la adecuación de este concepto a la realidad de los recorridos de formación y del mundo del trabajo contemporáneosque sufren profundas y rápidas transformaciones y requieren nuevas conceptualizaciones más detalladas y más rigurosas. Cristina Vicente Lucas (Trad.)

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.330
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.006
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
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 head0.024
GPT teacher head0.373
Teacher spread0.349 · 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; both teacher heads agree on what is shown here.

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

Citations4
Published2018
Admission routes2
Has abstractyes

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