A First Exploration to Understand Mathematics Curricula Implementation: Results, Limitations and Successes
Why this work is in the frame
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Bibliographic record
Abstract
This chapter is a first approach to the subject of curricular implementation based on experiences in Denmark, France, Wallonia-Brussels Federation, the Philippines, China, Tunisia and Quebec (Canada). It offers elements that will allow an exploration of some criteria to understand curriculum change, its implementation, positive or negative results, limitations and successes. In particular, two conceptual or theoretical frameworks are used that, on the one hand, consign six components-vectors that intervene in every curriculum in general (design and implementation); as well as, on the other hand, an ‘ecological’ perspective (associated to the French School of Didactics of Mathematics) that uses more general categories to place the processes of the teaching-learning of mathematics.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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 it