Educação Superior: desafios para a formação profissional do Serviço Social
Bibliographic record
Abstract
Resumo: O presente artigo tem por objetivo discutir os impactos da contrarreforma da educação, especificamente seus rebatimentos no ensino superior, e os impactos para a formação em Serviço Social.A partir de 2007, o Serviço Social passa a ser oferecido na modalidade de ensino a distância, trazendo novas questões para a formação profissional dessa área.Partimos do entendimento de que para refletir sobre a formação acadêmico-profissional em Serviço é necessário considerar as tendências do ensino superior no Brasil, visto que as condições nas quais a educação superior se materializa têm um papel determinante no tipo de currículo implementado nas instituições de ensino, e também no próprio movimento da profissão.Apresentamos, ainda, questões para refletir sobre significado políticopedagógico do EAD, analisando as formas reificadas que transformam o processo educacional em mera mercadoria e comprometem a qualidade da formação profissional.
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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 | 0.015 | 0.023 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.017 |
| Scholarly communication | 0.013 | 0.007 |
| Open science | 0.001 | 0.009 |
| Research integrity | 0.004 | 0.006 |
| Insufficient payload (model declined to judge) | 0.011 | 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".