Bibliographic record
Abstract
Le premier illustrateur du personnage de Peter Pan est aussi paradoxalement celui qui s’éloigne le plus, tant du point de vue iconographique que symbolique, du mythe que celui-ci deviendra. Que ce soit dans le cadre économique du marché du livre illustré ou dans celui de l’interprétation du texte, Arthur Rackham, en effet, opère une véritable appropriation du premier épisode racontant les histoires de Peter Pan, Peter Pan in Kensington Gardens, qui sera largement éclipsé par le second racontant les aventures de Peter dans le pays de Neverland. S’éloignant parfois du texte et des conventions de l’illustration narrative, l’illustrateur en poétise le contenu et en extrait des fils qui, bien que présents dans le texte, n’en constituent pas la trame principale. Ce faisant, les images de Rackham constituent une lecture du mythe de Peter Pan qui sera contrariée par l’évolution du personnage dans l’œuvre de Barrie, mais qui n’en éclairent pas moins une facette essentielle.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.006 | 0.003 |
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".