Representació de la llegenda de Sant Jordi
Bibliographic record
Abstract
La representació de la llegenda de Sant Jordi és un projecte que sorgí en l'assignatura de Didàctica de la Llengua i la Literatura I dels ensenyaments de Mestre d'Educació Infantil de la Universitat de Barcelona, impartida durant el segon quadrimestre del curs 2008-09 al Departament de Didàctica de la Llengua i la Literatura. La representació ha estat possible gràcies a l'elevat grau de compromís, treball cooperatiu i il·lusió que tots els estudiants han mostrat per tirar endavant el projecte, especialment a la Cecilia Lacoma (que va portar la direcció) i la Laura Fernández (qui en va escriure una adaptació). Tots els estudiants de l'assignatura van participar en l'obra de teatre.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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 teacher head, 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".