Seznamování dětí s hudbou původních obyvatel Severní Ameriky.
Bibliographic record
Abstract
Resume - cesky V bakalařske praci se zabývam hudbou původnich obyvatel Severni Ameriky a tim, jak bychom mohli na dane tema pracovat s dětmi předskolniho věku. V teoreticke casti je shrnut přichod indianů do Ameriky a jejich život, a take zakladni prvky jejich hudby a popis hudebnich nastrojů, na ktere indiani převažně hrali. Nasleduje prakticka cast, ve ktere se zabývam praci s dětmi v mateřske skole a praktickým využitim poznatků z teoreticke casti. Projekt je rozdělen na dvě casti, hudba inuitů a hudba ostatnich indianských kmenů Severni Ameriky. Jednotlive casti projektu jsou vždy tematicky zaměřeny a jsou zde uvedeny cinnosti, ktere se k danemu tematu hodi. Projekt jsem s dětmi v mateřske skole provedla, v dalsi kapitole je jeho hodnoceni a nasleduje zavěr cele bakalařske prace. V přilohach je notový material, fotografie z průběhu projektu a hudebni nosic obsahujici kratkou ukazku prace s dětmi.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.084 | 0.018 |
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".