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Record W1895957248 · doi:10.3917/gen.096.0062

« Je crois qu'ils ne me détestent pas »

2014· article· fr· W1895957248 on OpenAlexaff
Nicolas Mariot

Bibliographic record

VenueGenèses · 2014
Typearticle
Languagefr
FieldArts and Humanities
TopicHistorical Studies and Socio-cultural Analysis
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsHumanitiesArtEthnologySociology

Abstract

fetched live from OpenAlex

Au long de la Grande Guerre, des hommes issus de différents milieux se sont retrouvés condamnés à vivre ensemble. Dans certains cas, la confiance a pu s’installer. Dans d’autres, c’est l’expression de dégoûts sociaux qui s’est imposée. L’article s’intéresse aux traces écrites de ces expressions d’inimitiés. Il explique pourquoi celles-ci apparaissent et perdurent seulement dans les témoignages lettrés rédigés au jour le jour. Elles sont d’abord, pour les membres de la bourgeoisie lettrée de l’époque, une réaction à la découverte de leur propre altérité. Mais à mesure que le conflit se prolonge, le récit de l’autre affirme son caractère d’exercice de classe. Les écrits du front ne portent pas seulement témoignage de la promiscuité, ils sont aussi l’expression d’une pratique intellectuelle de reconquête de soi.

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 categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.668
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0040.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.001

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.

Opus teacher head0.029
GPT teacher head0.221
Teacher spread0.191 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreEmpirical

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

Citations0
Published2014
Admission routes1
Has abstractyes

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