“Conto um conto, acrescento um ponto”: Estudo de caso a James Barrie : O autor de Peter Pan
Bibliographic record
Abstract
Através do universo mágico de Peter Pan e de um enredo que se desenvolve em torno da fuga de crianças para a Terra do Nunca, podemos chegar a interpretações acerca do criador James Barrie, constatando o seu positivismo dissimulado, relativamente a infâncias derrotadas, lacunas parentais e a necessidade de recorrer à aventura e ficção para assim evitar o contacto com os dolorosos eventos do passado. O livro Peter Pan constitui um valioso instrumento de análise, com o objectivo de alcançar o mundo interno do seu escritor, compreender o gerador das suas projecções maciças, bem como entender o trágico significado inerente à recusa em crescer. A partir da sua biografia e de uma análise de conteúdo à sua obra, realizámos um estudo de caso que, no limite, nos possibilitou constatar que esta criação literária representa uma autobiografia secreta, sendo possível identificar autênticas semelhanças entre a personalidade aliada a cada personagem e as pessoas reais da vida do autor.
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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 | 0.010 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.007 | 0.003 |
| Science and technology studies | 0.005 | 0.004 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 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; both teacher heads agree on what is shown here.
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".