Social inequality and human development: Intertwined cycles of perversion in education in contemporary Brazil
Bibliographic record
Abstract
In this paper, a conceptual framework on the sources and origins of inequalities in education is presented, focusing the Brazilian contemporary context as a case-study of a paradox: reduced economic inequality in parallel to increasing inequities in education. To understand this apparent contradiction, first the Brazilian taxation structure is outlined as a intricate, regressive and unfair system organized for collecting economic revenues for funding the State. Secondly, the social and political inequities that affect and thus define the educational structure of Brazil is discussed to reveal the perverse effects that turn education into a major asset for the general reproduction of society. Finally, such paradoxes and contradictions in the field of education are analyzed as strategies for maintenance and reproduction of a social order based on social inequalities and inequities.http://dx.doi.org/10.15572/ENCO2015.06
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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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
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 teacher head, 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".