World Yearbook of Education 2011. Curriculum in Today’s World: Configuring Knowledge, Identities, Work and Politics, Lynn Yates et Madeleine Grumet (sous la direction de)
Bibliographic record
Abstract
Écrit à une vingtaine de mains, ce livre propose des réflexions souvent originales sur différents sujets liés aux questions curriculaires aux États-Unis, au Brésil, en Norvège, au Canada, en Angleterre, à Singapour, en Chine, en Afrique du Sud, au Pakistan, en Russie ou encore en Israël.Les divers points de vue exprimés ne relèvent pas tous des mêmes idéologies, et cet ouvrage a le mérite de plonger le lecteur au cœur des débats.2 Peter Taubman rappelle ainsi, au chapitre 11, que le travail sur le curriculum non seulement ne va pas de soi, mais qu'il rencontre de forts vents idéologiquement contraires : si, comme Friedman l'écrivait, le concept d'enseignement public (où la notion de curriculum prend son essor) ne doit plus désigner qu'un « îlot de socialisme dans la mer du marché libre », alors la « culture d'audit » fait son chemin et s'enroule en un gigantesque syllogisme néo-libéral qui se conclut par l'urgence de tout privatiser.Et l'auteur de s'étonner de la rapidité avec laquelle ce discours, qui ne s'occupe ni de la World Yearbook of Education 2011.Curriculum in Today's World: Configuring Kn...
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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 | 0.002 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.008 | 0.013 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.051 | 0.016 |
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".