Vzdělávací reforma v Ontariu: kritické shrnutí a inspirace pro vzdělávací politiku v ČR
Bibliographic record
Abstract
Tato stať se zabývá hlavními aspekty úspěšné vzdělávací reformy v kanadské provincii Ontario. Nejprve popisuji základní strukturální a institucionální charakteristiky vzdělávacího systému v Ontariu. Dále představuji kontext, ve kterém reforma vznikala, a teorie, na kterých byla postavena. V další části jsou diskutovány cíle této reformy, míra jejich naplnění a nástroje a mechanismy, kterými bylo těchto cílů dosaženo. V závěrečné části rozebírám, které části reformy by mohly být inspirativní pro vzdělávací politiku v České republice a proč. The article deals with main aspects of educational reform in Ontario, Canada. First, the basic structural and institutional features of Ontario educational system are described. Then the context in which reform was launched is introduced and theoretical underpinnings upon which it was based are explained. The goals of the reform, their fulfillment and means of how they have been achieved are discussed. In the final part, I examine how the educational policy in the Czech Republic could be inspired by Ontario experience.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.008 | 0.010 |
| Scholarly communication | 0.008 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 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 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".