Bibliographic record
Abstract
Tato bakalařska prace se zabýva možnosti využiti komiksu ve výuce francouzskeho jazyka. Prace je koncipovana do tři casti. Cast teoreticka, na ni navazujici cast prakticka metodicke listy a řeseni ke cvicenim.Pro svou praci jsem si vybrala přiběhy Asterixe a Obelixe od francouzských autorů Reneho Goscinnyho a Alberta Uderza. Pro svůj zaměr jsem rozpracovala prvni album těchto přiběhů z roku 1961 nazvane Asterix le Gaulois Asterix z Galie. V teoreticke casti představuji vznik dila a jeho autory, anatomii komiksu a nahlednuti do historie komiksu. Dale prezentuji prvni dil serie o Asterixovi, Asterix le Gaulois, a jeho hlavni postavy. Nasledujici kapitola pojednava o životě Galů a Řimanů. V posledni kapitole teto casti je uveden strucný obsah prvniho dilu. Na tuto teoretickou navazujici prakticka cast se sklada ze sedmi metodických listů urcených urovni A2. Tento celek je zaměřen na ziskani znalosti z teoreticke casti a na rozsiřeni slovni zasoby. V posledni zavěrecne casti najdou ucitele i studenti klic ke cvicenim, v němž naleznou potřebna spravna řeseni. Celou praci jsem se pokousela koncipovat tak, aby byla využitelna jak pro vyucujici tak pro studenty.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.005 |
| Scholarly communication | 0.008 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.042 | 0.008 |
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".