Homeschooling: fator de perpetuação da segregação educacional?
Bibliographic record
Abstract
Este artigo analisa o fenômeno do homeschooling (ensino domiciliar) e sua relação com políticas neoliberais e desigualdades na educação. Para isso, faz-se revisão bibliográfica de obras que investigam a influência do neoliberalismo como doutrina econômica e ideológica na educação, como Michael W. Apple (2003) e Christian Laval (2004). As análises indicam que o homeschooling beneficia famílias de classe média e alta, que possuem recursos e tempo para garantir processo educativo eficaz, enquanto as de baixa renda enfrentam dificuldades para aderir a essa modalidade. Conclui-se que o crescimento do homeschooling agrava as desigualdades educacionais, pois contribui para a exclusão social e educacional, sendo necessária a implementação de políticas públicas que fortaleçam a educação e a equidade no acesso ao ensino de qualidade.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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; both teacher heads agree on what is shown here.
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".