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Record W2466736444

As representações sociais de estudantes universitários do Semi-Árido Baiano quanto à violação dos direitos humanos

2006· article· pt· W2466736444 on OpenAlexaff
Paulo Machado, Edivania Moreira da Silva

Bibliographic record

VenueRevista da FAEEBA- Educação e Contemporaneidade · 2006
Typearticle
Languagept
FieldSocial Sciences
TopicSocial and Economic Solidarity
Canadian institutionsUniversité du Québec
Fundersnot available
KeywordsFatalismUniversality (dynamical systems)State (computer science)SociologyHuman rightsPolitical scienceLawMathematicsEpistemologyPhilosophy
DOInot available

Abstract

fetched live from OpenAlex

The main objective of the study is to identify social representations about human rights violation of students of the University of the State of Bahia (UNEB) who belong to five different courses (biology, law, history, mathematics and pedagogy), located in towns in the semi arid regions of the state of Bahia. Theobjective is to help them recover their beliefs, ideas and human values (social representations) related to their individual freedoms, governmental actions as well as their own actions and obligations, fatalism and employer requirements from new employees and from the government towards the common citizen. We take in consideration studies already done in previous researches in reference to extensions and limits about the universality of human rights, After due adaptations to the reality of the Brazilian northeastern, social and consensual representations were defined in the majority of the students interviewed and in each group of students, as well as in representations as a result of the mix of ideas “practices a religion”

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)0.004
metaresearch head score (Gemma)0.010
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.016
Threshold uncertainty score0.031

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.010
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.003
Science and technology studies0.0070.004
Scholarly communication0.0060.002
Open science0.0010.004
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.038
GPT teacher head0.325
Teacher spread0.286 · 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 designQualitative
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
Published2006
Admission routes1
Has abstractyes

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