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Novos desafios dos jovens na atualidade: trabalho, educação e família

2008· article· pt· W2091012340 on OpenAlexaff
Tânia Regina Raitz, Luciane Carmem Figueredo Petters

Bibliographic record

VenuePsicologia & Sociedade · 2008
Typearticle
Languagept
FieldSocial Sciences
TopicYouth, Politics, and Society
Canadian institutionsMinistère de l’Emploi et de la Solidarité Sociale (Québec)
Fundersnot available
KeywordsWork (physics)SociologyHumanitiesArtPhysics

Abstract

fetched live from OpenAlex

Os dilemas da juventude na atualidade se apresentam não somente de forma inédita e desafiante, mas se constituem como um complexo e grave problema de crise do trabalho juvenil no Brasil. Este estudo foi realizado com jovens do Ensino Médio em um município litorâneo do interior de Santa Catarina. As estratégias utilizadas pelos jovens na relação "trabalho, educação e família", numa nova ética do trabalho na sociedade contemporânea, se constituiu na problemática central. A pesquisa realizada foi de natureza quantitativa e qualitativa, através da aplicação de questionários e entrevistas (grupo focal) com o objetivo de identificar a situação de educação e de trabalho desses jovens. Os resultados indicam a necessidade de políticas públicas para a juventude que sinalizem a emergência de se repensar propostas de educação e trabalho que atendam as condições juvenis, em conseqüência da incerteza que hoje rodeia o mercado de trabalho.

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)0.005
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.127
Threshold uncertainty score0.253

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0060.005
Scholarly communication0.0040.001
Open science0.0010.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.111
GPT teacher head0.346
Teacher spread0.234 · 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 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

Citations16
Published2008
Admission routes1
Has abstractyes

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