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Record W4250731469 · doi:10.4000/ifha.7980

Éditorial

2014· article· fr· W4250731469 on OpenAlexaff
Pierre Monnet

Bibliographic record

VenueRevue de l’Institut français d’histoire en Allemagne · 2014
Typearticle
Languagefr
FieldSocial Sciences
TopicMulticulturalism, Politics, Migration, Gender
Canadian institutionsInstitut d'Histoire de l'Amérique Française
Fundersnot available
KeywordsComputer science

Abstract

fetched live from OpenAlex

Voici donc la deuxième livraison de notre Revue sous forme entièrement électronique après le basculement sur la plate forme Revues.orgintervenu en 2013.La qualité de la collaboration avec ce portail scientifique, la prise en main technique et éditoriale de cette nouvelle forme de communication et de publication par l'équipe, les réactions positives enregistrées et exprimées par plusieurs des lecteurs traditionnels du périodique, autant que les encouragements prodigués par le conseil scientifique de l'IFHA ainsi que la diffusion de plus en plus répandue, mieux signalée, référencée et hiérarchisée du savoir sous cette forme ouverte nous ont convaincus de poursuivre dans cette voie.

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)0.004
metaresearch head score (Gemma)0.027
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: Editorial · Consensus signal: Editorial
Teacher disagreement score0.120
Threshold uncertainty score0.000

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.027
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.001
Science and technology studies0.0020.002
Scholarly communication0.0070.004
Open science0.0030.002
Research integrity0.0050.007
Insufficient payload (model declined to judge)0.1200.057

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 head0.034
GPT teacher head0.301
Teacher spread0.268 · 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
GenreEditorial

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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