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A CIDADANIA COMO INSTRUMENTO POLÍTICO-ESTRATÉGICO

2011· article· pt· W1485487798 on OpenAlexaff
Yeda Souza SANTOS

Bibliographic record

VenueRevista LEVS · 2011
Typearticle
Languagept
FieldSocial Sciences
TopicScience and Science Education
Canadian institutionsChild, Adolescent and Family Mental Health
Fundersnot available
KeywordsHumanitiesPhilosophyPsychologyPolitical science

Abstract

fetched live from OpenAlex

Este trabalho tem por objetivo contribuir para despertar a Cidadania presente no adolescente infrator preso, a partir da reflexão sobre sua realidade criminosa, tornando-o mais cooperativo e menos agressivo ao meio social. São indicadas, nesta apresentação, formas para conhecer este adolescente, permitindo aproximá-lo dos orientadores, nas unidades prisionais, de modo a articular o relacionamento entre ambos, usando a Cidadania como meio, o que levará a melhor convivência estendida à sociedade constantemente golpeada por tal desacerto. Pretende, ainda, colaborar para estabelecer um paradigma no atendimento, ao aconselhar a Educação com Abordagem Adequada à Adolescência Criminosa brasileira, mediante o exercício de Deveres e Direitos.

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)0.013
metaresearch head score (Gemma)0.015
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.024
Threshold uncertainty score0.135

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0130.015
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0050.006
Science and technology studies0.0080.012
Scholarly communication0.0130.005
Open science0.0010.007
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0120.001

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 head0.154
GPT teacher head0.354
Teacher spread0.199 · 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 designNot applicable
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
Published2011
Admission routes1
Has abstractyes

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