O DIÁLOGO ENTRE ECONOMIA E EDUCAÇÃO COMO CHAVE PARA ENTENDIMENTO DA AQUISIÇÃO DA QUALIFICAÇÃO
Bibliographic record
Abstract
O texto faz parte de um conjunto mais amplo de discussões que visam alargar o espectro da questão atual da qualificação, num esforço para reconduzi-la a um de seus principais campos de origem: a Educação. Nesse sentido, interessa-nos alcançar o que poderíamos chamar de ‘‘ponta’’ do processo, na qual entendemos que se encontra enraizada a aquisição da qualificação. Dentre as discussões que a aquisição da qualificação suscita, destaca- se uma já clássica para o campo educacional: tratase da polêmica questão da educação como propiciadora de ‘‘capital humano’’ com as quais se envolveu boa parte do pensamento educacional nos anos 1960/80. É nosso propósito retratá-la, na busca de novos significados que permitam atualizar as discussões para o contexto dos anos 90. PALAVRAS-CHAVE: Educação, trabalho, qualificação, economia, capital THE ECONOMY AND EDUCATION DIALOG AS A KEY FOR UNDERSTANDING THE ACQUISITION OF QUALIFICATION The text is part of broader set of discussions to enable the expansion of the present qualification issue in an effort to redirect it to one of its main fields of origin: Education. In this sense, we are interested in reaching what we can call the “tip” of the process, where we think the acquisition of qualification is rooted. A classical discussion stands out in the educational field among the discussions fomented by the qualification of acquisition: the polemic issue of education as a “human capital” increment, on which was based most of the educational thinking in the 60s and 80s. Our goal is to sketch its picture, searching new meanings that enable discussions in the context of the 90’s. KEYWORDS: Education, work, qualification, economy, capital Publicação Online do Caderno CRH: http://www.cadernocrh.ufba.br
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.006 | 0.027 |
| Scholarly communication | 0.011 | 0.008 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.006 | 0.007 |
| Insufficient payload (model declined to judge) | 0.009 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".