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Record W3020345124

F(f)rancophonies

2016· article· fr· W3020345124 on OpenAlexvenueno aff
Frédéric Ramel

Bibliographic record

VenueSens public · 2016
Typearticle
Languagefr
FieldSocial Sciences
TopicPolitical and Social Issues
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPolitical scienceArt
DOInot available

Abstract

fetched live from OpenAlex

Le francais fut un outil majeur de communication dans les relations diplomatiques. Aujourd’hui, cet usage est de moins en moins avere, notamment au sein des organisations intergouvernementales qu’elles soient universelles ou regionales. Neanmoins, la dimension linguistique ne doit pas occulter d’autres aspects qui revelent la presence de plusieurs francophonies a l’œuvre sur la scene diplomatique : des institutions francophones (l’Organisation Internationale de la Francophonie et ses operateurs), aux acteurs francophones emanant de la societe civile. Comment ces differentes francophonies percoivent leur role dans un systeme international contemporain caracterise par une serie de changements saillants sur le plan de sa structure (redistribution des capacites de puissance avec l’eclosion des « emergents ») ou bien de sa nature (homogeneisation partielle des valeurs et critique de l’occidentalisation du monde) ? C’est la l’objet de cet article qui aura deux principaux objectifs : identifier le repertoire d’action diplomatique privilegie par les acteurs institutionnels francophones et qualifier le role diplomatique exerce par les F(f)rancophonies allant de la logique du desenclavement a la posture du renforcement des capacites.

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 score0.104
Threshold uncertainty score0.248

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.001
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0740.006

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 head0.044
GPT teacher head0.309
Teacher spread0.265 · 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
Published2016
Admission routes1
Has abstractyes

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