Diretrizes de (con)federações nacionais para o desenvolvimento de treinadores de handebol em uma perspectiva de longo prazo
Bibliographic record
Abstract
Esta pesquisa teve como objetivo identificar e comparar as diretrizes de formação de treinadores de handebol em países que alcançaram resultados expressivos no contexto internacional nos últimos anos. Trata-se de uma pesquisa documental, realizada entre dezembro de 2020 e janeiro de 2021. Os dados foram extraídos dos endereços eletrônicos oficiais das respectivas (con)federações nacionais, por um instrumento elaborado pelos autores e, posteriormente, foram analisados por meio da análise temática. Os achados denotam o envolvimento das (con)federações na formação dos treinadores, que, por sua vez, apresentou caracteríricas padronizadas e hierarquizadas, proporcionando diferentes níveis de treinadores, relacionados aos diversos contextos de atuação da modalidade.
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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 | 0.006 | 0.015 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 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".