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Record W3033329121 · doi:10.4000/books.pub.33873

Fictions historiques pour la jeunesse en France et au Québec

2016· book· fr· W3033329121 on OpenAlexaboutno aff

Bibliographic record

VenuePresses Universitaires de Bordeaux eBooks · 2016
Typebook
Languagefr
FieldComputer Science
TopicCultural Insights and Digital Impacts
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesArt

Abstract

fetched live from OpenAlex

Comme leurs aînés, les jeunes lecteurs apprécient les fictions historiques, les romans, les BD, les albums qui les plongent dans un univers révolu. Les collections en édition jeunesse se multiplient pour donner à lire le passé, comprendre le présent ou parfois simplement proposer des histoires dans lesquelles l’Histoire constitue un décor aux couleurs attrayantes. Fictions historiques pour la jeunesse en France et au Québec s’attache à décrire ce phénomène éditorial, littéraire et culturel. En s’appuyant sur des travaux portant sur la France et sur le Québec, cet ouvrage montre que la littérature jeunesse n’échappe pas aux conséquences économiques et culturelles de la mondialisation et qu’il existe bien des formes de fictions historiques communes. Pour autant, le contexte sociopolitique de production rend plus ou moins aisée l’évocation de certains pans du passé. Or, l’histoire et la mémoire participent, de manière particulièrement sensible, des constituants des consciences nationales. Ce livre s’inscrit au croisement de plusieurs domaines : littérature, histoire, histoire des arts, ou études culturelles. De l’Antiquité à octobre 1970, des trappeurs aux héroïnes du Grand Siècle, de la mémoire de l’esclavage à celle de la guerre d’Algérie, les questionnements variés permettent d’appréhender les fictions historiques pour la jeunesse dans leur diversité.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.900
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0010.002
Open science0.0020.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.055
GPT teacher head0.260
Teacher spread0.205 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreOther

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".

Quick stats

Citations2
Published2016
Admission routes1
Has abstractyes

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