Rethinking Public Education Systems in the 21st Century Scenario
Bibliographic record
Abstract
This book emanated from presentations at the World Congress of Comparative Education Societies (WCCES), held in Buenos Aires, Argentina in June 2013. The Congress theme of “New Times, New Voices” provided the broad frame of the post-Buenos Aires series of volumes including this one containing research contributions focusing on the situation of public education systems. The chapters in this volume are selected for quality of research and relevance to the theme, and for representation across global regions. They examine the new and renovated challenges faced by public education systems at present for which different paths are suggested. In particular, this book puts together studies from authors from Latin American countries, especially from the Southern Cone, as a way of giving voice to particular educational problems and perspectives in a globalized world. Getting into educational systems in Argentina, Brazil and Chile and analysing some of its current particularities through the lenses of regional and international comparison, contributes to a better understanding of the processes of circulation, reception, appropriation and translation that historically characterizes educational systems development. This is why the volume also includes studies regarding the impact on contemporary educational reforms in the public sector, their links to past reforms and their cumulative impact on educational systems.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.006 | 0.013 |
| Scholarly communication | 0.013 | 0.010 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.007 | 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".