Bibliographic record
Abstract
Pětidenni workshop proběhl pod vedenim zahranicnich lektorů dramaticke výchovy Warwicka Dobsona a Tonyho Gooda, Universita Newcastle, Velka Britanie. Lektoři maji bohate zkusenosti s výukou dramaticke výchovy nejen ve VB (Kanada, USA, Polsko, Francie). Svůj workshop zaměřili na integraci kurikula. Představili svou knihu Lekce pro život, ktera v tom case vysla na PdF MU a pomoci praktických ukazek z ni studenty ucili využivat DV při vzdělavani na 1. i 2. stupni ZS.Five-day workshop lead by drama educators Warwick Dobson and Tony Good, University Newcastle, Great Britain. The drama teachers are experienced in teaching drama in education not only in Great Britain but also in Canada, USA, Poland, France, etc. They will focus their workshop on integrating the curriculum. They will introduce their book Lessons for Life, which is just coming out at the Faculty of Education (PdF MU) and they will have practical extracts from the books by which they will teach students the ways to use drama in education at 1st and 2nd cycle of elementary schools.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.009 | 0.003 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.136 | 0.027 |
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".