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Record W4244243199 · doi:10.4000/ahrf.13396

Edward P. Thompson, La guerre des forêts : luttes sociales dans l’Angleterre du XVIIIe siècle

2014· article· fr· W4244243199 on OpenAlexaff
Jean-Pierre Gross

Bibliographic record

VenueAnnales historiques de la Révolution française · 2014
Typearticle
Languagefr
FieldArts and Humanities
TopicHistorical Studies and Socio-cultural Analysis
Canadian institutionsInstitut d'Histoire de l'Amérique Française
Fundersnot available
KeywordsArtPolitical science

Abstract

fetched live from OpenAlex

Saluons l'initiative de Philippe Minard, qui vient de tirer de l'ombre un texte important de E. P. Thompson (1924Thompson ( -1993)), ce grand historien anglais si mal connu en France.C'est la vocation même de la collection « Futurs Antérieurs » que Minard dirige aux Éditions La Découverte.2 Ce livre à deux volets présente en premier lieu une version abrégée de l'ouvrage de E. P. Thompson, Whigs and Hunters : the Origin of the Black Act, publié à Londres chez Allen Lane en 1975.Sous un titre nouveau, La guerre des forêts, il s'agit d'une traduction française condensée de 108 pages, là où le texte original en comptait 269.Le second volet, de 65 pages, notes comprises, entièrement de la plume de Philippe Minard, est comme un miroir du premier.Il s'agit d'une analyse, chapitre par chapitre, de la portée et de la réception de l'ouvrage de Thompson, accompagnée de références copieuses puisées dans l'historiographie de langue anglaise, qui reflètent tout l'intérêt que Whigs and Hunters a suscité outre-Manche et outre-Atlantique, compte tenu des diverses polémiques qui ont suivi sa parution en 1975.Analyse d'une grande érudition qui met à la portée du lecteur francophone un véritable corpus des travaux relatifs à l'histoire Edward P. Thompson, La guerre des forêts : luttes sociales dans l'Angleterre ...

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.121
Threshold uncertainty score0.241

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0050.005
Scholarly communication0.0030.005
Open science0.0010.001
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0050.001

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 head0.021
GPT teacher head0.232
Teacher spread0.210 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreReview

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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