Les contes d’Andersen au prisme de la photolittérature : un discours empathique sur l’enfance
Bibliographic record
Abstract
Laurence Le Guen place l’ouvrage Cent cinquante ans de photolittérature pour les enfants (2022) sous le signe d’Andersen, avec qui elle ouvre et ferme la période couverte par le volume. Cette mise en exergue souligne le lien du poète conteur à l’enfance par le biais du médium photographique. L’article s’intéresse à un corpus d’albums qui reformulent les contes d’Andersen sous l’objectif de la photographie au tournant du xxie siècle : Le sapin de Marcel Imsand et Rita Marshall (1983), L’Effraie de Sarah Moon (2004), La petite fille aux allumettes d’Yveline Loiseur (2013). Il s’agit d’interroger les modalités et les enjeux de l’illustration photographique au service du conte intégralement rapporté, sensiblement réécrit ou seulement abrégé. Dans tous les cas, au gré de projets artistiques et/ou éditoriaux singuliers, le regard du ou de la photographe contribue à focaliser l’attention sur le monde de l’enfance et à susciter l’empathie du lecteur-regardeur.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.009 | 0.009 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.012 | 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".