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Record W6964927650 · doi:10.34745/numerev_1491

Dix ans de construction critique du témoignage combattant : de Georges Duhamel (1920) à Jean Norton Cru (1929)

2015· article· fr· W6964927650 on OpenAlexaboutno aff

Bibliographic record

VenueNumeRev · 2015
Typearticle
Languagefr
FieldEnvironmental Science
TopicPlant Ecology and Soil Science
Canadian institutionsnot available
Fundersnot available
KeywordsContext (archaeology)CruQuarter (Canadian coin)

Abstract

fetched live from OpenAlex

<span style="font-size:12pt"><span style="font-family:Calibri"><span style="font-family:Helvetica">Entre 1914 et 1918, pr&egrave;s de 340 t&eacute;moignages de combattants sont &eacute;dit&eacute;s en France. Certains connaissent une notori&eacute;t&eacute; imm&eacute;diate de la part des contemporains ou des critiques. Il faut n&eacute;anmoins attendre la sortie de la guerre pour voir cette litt&eacute;rature &ecirc;tre l&rsquo;objet d&rsquo;une tentative de th&eacute;orisation et de classement. Georges Duhamel est le premier &agrave; tenter de d&eacute;finir la litt&eacute;rature de t&eacute;moignage, peu avant qu&rsquo;Albert Schinz ne s&rsquo;int&eacute;resse &agrave; la valeur esth&eacute;tique et documentaire des r&eacute;cits de guerre. Proposant &agrave; la fin de son ouvrage un classement, Albert Schinz pr&eacute;figure en cela la partie du travail de Norton Cru qui fit tant pol&eacute;mique &agrave; la publication de <i>T&eacute;moins </i>en 1929. Dix ans apr&egrave;s la fin de la guerre, au moment o&ugrave; la premi&egrave;re mise en m&eacute;moire du conflit s&rsquo;effectue dans la soci&eacute;t&eacute; fran&ccedil;aise, Jean Norton Cru publie son &eacute;tude critique, s&rsquo;appuyant sur une m&eacute;thode originale qui m&ecirc;le &agrave; la fois approche scientifique et intervention de son exp&eacute;rience de guerre.</span></span></span>

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.144
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.002
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.002

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.

Opus teacher head0.014
GPT teacher head0.238
Teacher spread0.225 · 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 designObservational
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
Published2015
Admission routes1
Has abstractyes

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