<i>Charlotte Sometimes</i> de Penelope Farmer, entre Histoire nationale et histoire individuelle, identité collective et identité personnelle
Bibliographic record
Abstract
Les romans pour la jeunesse qui abordent les conflits mondiaux ont connu un essor important en Grande-Bretagne dans la seconde partie du vingtième siècle, notamment à partir des années 1960. Cette vague de récits évoquant, souvent de façon oblique, les problématiques liées à la guerre donnait une fois de plus la preuve, s’il en était besoin, de la persistance d’une mission éducative de la littérature adressée aux jeunes lecteurs, malgré l’affranchissement apparent que ces livres connaissaient progressivement de la dimension édifiante les caractérisant précédemment. À travers une étude de cas, celle du roman Charlotte Sometimes de Penelope Farmer, nous entendons nous pencher sur la démarche de tout un courant de romans pour la jeunesse, qui non seulement présentent au jeune lecteur la guerre d’un point de vue mineur mais font également le choix d’un traitement non réaliste de l’Histoire.
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 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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.022 | 0.020 |
| Scholarly communication | 0.008 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.008 | 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 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".