La tradición de los Movimientos de Renovación Pedagógica en los Comunes Educativos: un estudio de casos
Bibliographic record
Abstract
本文拟阐明教育公地（EC）提案与 "教学革新运动"（MRP）方法之间的关系。教育公地是一种基于公地的理论-实践方法（Ostrom, 1990; Laval and Dardot, 2015）的教学方法，它渴望打破制度化教育行为中的权力关系，将教育实践理解为在平等、民主、自由和积极的创造性参与原则基础上生产、再生产和共同管理的共同利益。MRPs 则起源于西班牙政治过渡时期和民主初期的教育变革，涉及基于批判教育学和民主承诺原则的社区动员行动的组织和实施（Rogero，2010 年）。我们的研究以 "欧洲畅通 "项目为框架，以将欧洲委员会的理念付诸实践的一系列研讨会的案例研究为基础。具体地说，在这项工作中，我们围绕三个轴心确定了与 MRPs 建立的可能对话和协同作用：治理、参与和来自艺术实践的公共空间行动。
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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 | 0.008 | 0.017 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.010 | 0.018 |
| Scholarly communication | 0.018 | 0.013 |
| Open science | 0.002 | 0.008 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.005 | 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".