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Record W2153307654 · doi:10.4000/ahrf.13532

Revue du Philanthrope, n° 4, Histoire et mémoires de la traite négrière, de l’esclavage et de leurs abolitions en Normandie

2015· article· fr· W2153307654 on OpenAlexaff
Silvia Marzagalli

Bibliographic record

VenueAnnales historiques de la Révolution française · 2015
Typearticle
Languagefr
FieldArts and Humanities
TopicHistorical Studies and Socio-cultural Analysis
Canadian institutionsInstitut d'Histoire de l'Amérique Française
Fundersnot available
KeywordsArt

Abstract

fetched live from OpenAlex

p.1 Publiée par les Presses universitaires de Rouen et du Havre, la Revue du Philanthrope prend la suite des Cahiers de l'histoire et des mémoires de la traite négrière, de l'esclavage et de leurs abolitions, dont trois numéros avaient paru entre 2009 et 2012.Tout comme sa numérotation -le premier numéro de cette nouvelle revue porte en effet le chiffre 4son titre affiche clairement la volonté de s'inscrire dans sa continuité : Histoire et mémoires de la traite négrière, de l'esclavage et de leurs abolitions en Normandie.Cette spatialisation régionale est par ailleurs à relativiser car un tiers seulement des contributions la concerne spécifiquement. 2Le numéro, publié sous la direction d'Éric Saunier, se compose de neuf articles, divisés en deux dossiers.Le premier s'intitule « De Saint-Domingue à Haïti » et s'ouvre sur un court texte de Gusti-Klara Gaillard-Pourchet qui rappelle qu'en dépit des relations inégales que la France impose à Haïti en 1825, les deux pays entretiennent des liens culturels multiples, que ce soit dans le domaine de la francophonie, ou en témoignant de leur solidarité lors d'événements majeurs (libération en 1944, tremblement de terre de 2010).Revue du Philanthrope, n° 4, Histoire et mémoires de la traite négrière, de l...

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)0.003
metaresearch head score (Gemma)0.003
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.086
Threshold uncertainty score0.171

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0070.012
Scholarly communication0.0060.002
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0060.001

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 head0.026
GPT teacher head0.262
Teacher spread0.236 · 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
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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