Теоретические основы и практика оценивания качества общего образования в средней школе Канады
Bibliographic record
Abstract
В статье рассматриваются основные тенденции в оценивании качества общего среднего образования в Канаде. Автор выявляет как теоретические основы и предпосылки для оценивания, так и их практическое применение. Определяются такие направления в оценивании качества школьного образования в Канаде, как усиленное внимание к вопросам валидности и надёжности тестов, опора на результаты учебных достижений школьников, акцент на самооценку и саморегуляцию школьных систем, взаимосвязь оценки качества школьного образования и его дальнейшего улучшения. The main trends in the assessment of the general secondary education quality in Canada are considered in the article. The author investigates both theoretical foundation and the background of the assessment, and its practical application. Such trends as close attention to the issues of validity and reliability of tests, the emphasis on the educational achievements results, the accent on the self-assessment and self-regulation of the school systems, the interrelation of the school education quality assessment and its further improvement are defined in the assessment of school education quality in Canada.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.004 | 0.006 |
| Scholarly communication | 0.010 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.018 | 0.004 |
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".