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Avaliação dos impactos dos adquiridos experienciais no Alentejo, no período 2001-2005

2019· book· pt· W3027940345 on OpenAlexaff
Lurdes Pratas Nico, Bravo Nico

Bibliographic record

Venuenot available
Typebook
Languagept
FieldSocial Sciences
TopicRegional Development and Policy
Canadian institutionsImpact
Fundersnot available
KeywordsEnvironmental science

Abstract

fetched live from OpenAlex

Resumo O presente artigo decorre de trabalho de investigação promovido pelo Centro de Investigação em Educação e Psicologia da Universidade de Évora, que pretendeu avaliar a forma como decorreu o processo de Reconhecimento, Validação e Certificação de Competências, no Alentejo/Portugal, no período 2001-2005, os impactos que este teve na população que nele participou e a forma como a certificação formal de competências ocorrida determinou os projetos de vida, pessoais e profissionais, dos adultos que, no período referido, a concluíram, com sucesso.No projeto de investigação, de cariz descritivo e interpretativo, recorreu-se a uma metodologia, simultaneamente, quantitativa e qualitativa, com recurso a entrevistas aos responsáveis das institutições promotoras do processo e através da aplicação de questionários aos adultos envolvidos no processo.No que respeita aos impactos do processo de RVCC, estes verificaram-se, maioritariamente, na dimensão pessoal.Na dimensão profissional, os impactos foram residuais.Foram as mulheres quem mais protagonizou e valorizou o processo de RVCC.Quinze por cento dos adultos inquiridos prosseguiu os estudos.

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)0.008
metaresearch head score (Gemma)0.031
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.044
Threshold uncertainty score0.087

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.031
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.004
Science and technology studies0.0030.002
Scholarly communication0.0050.003
Open science0.0010.007
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0040.001

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 head0.059
GPT teacher head0.340
Teacher spread0.282 · 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".

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Citations0
Published2019
Admission routes1
Has abstractyes

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