Análisis de la evolución audiovisual del personaje Peter Pan y su influencia en los espectadores
Bibliographic record
Abstract
El següent treball consisteix en la realització d'una anàlisi audiovisual del personatge Peter Pan, de la pel·lícula d'animació (1953) i de la pel·lícula de personatges reals (2003), ambdues basades en la història original creada per J. M. Barrie. La recerca realitzada mitjançant un anàlisis de contingut també pretén estudiar la repercussió que va tenir en el públic el mite de Peter Pan. L'objectiu del treball és observar si hi ha hagut una evolució audiovisual del personatge, així com investigar que trets principals li caracteritzen i si es configura el mateix arquetip. A més, s'observarà mitjançant entrevistes en profunditat la repercussió del mite en els espectadors.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.027 | 0.002 |
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".