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De l’Orient à l’Ouest et aux Amériques

2020· book-chapter· fr· W3107735670 on OpenAlexaff
Bénédicte Fabre-Muller

Bibliographic record

VenuePresses universitaires du Septentrion eBooks · 2020
Typebook-chapter
Languagefr
FieldArts and Humanities
TopicHistorical Studies and Socio-cultural Analysis
Canadian institutionsWorld Federation of Science Journalists
Fundersnot available
KeywordsModernityAllianceHumanitiesLibrary scienceEpistemologyArt historyComputer sciencePolitical scienceArtPhilosophyLaw

Abstract

fetched live from OpenAlex

One aspect of Léon de Rosny’s personality, apart from his precocity and the thoroughness and inventiveness of his works, lies in his modernity. He set up an intercontinental network of scholars to implement an efficient exchange of information. Rosny was indeed ahead of his time when, a hundred and sixty years ago, he believed that scientific thinking is better undertaken through what is now called the Web. To validate out his initial postulate, he devised three tools and, from the very beginning, he expected to give them an international basis as learned societies, in order to generate new ideas and concepts and incubate them as the Société d’Ethnographie américaine et orientale. He also organized international conferences so as to challenge and exchange ideas and experience, such as the Congrès international des orientalistes as well as publications so as to capture and spread widely the results of these works, such as the Revue orientale et américaine and the Bulletin de l’Alliance scientifique universelle.

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)0.000
metaresearch head score (Gemma)0.001
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: Other · Consensus signal: Other
Teacher disagreement score0.071
Threshold uncertainty score0.141

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.003
Scholarly communication0.0020.002
Open science0.0000.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0120.002

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 head0.022
GPT teacher head0.204
Teacher spread0.181 · 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
GenreOther

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
Published2020
Admission routes1
Has abstractyes

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