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Record W7057749594

La traduction comme acte politique Translation as Political Act La traduzione come atto politico

2018· other· en· W7057749594 on OpenAlexfundno aff

Bibliographic record

VenueOpenEdition (OpenEdition) · 2018
Typeother
Languageen
FieldEngineering
TopicParticle accelerators and beam dynamics
Canadian institutionsnot available
FundersUniversità degli Studi di PerugiaUniversità di BolognaUniversité Paris DiderotUniversità degli Studi di PalermoUniversiteit GentTrinity College DublinAston UniversityNewcastle UniversityUniversità degli Studi di MilanoUniversité Charles-de-Gaulle - Lille 3Université de MontréalUniversité de ParisUniversity of Washington
KeywordsPoliticsSubject (documents)Context (archaeology)Derogation
DOInot available

Abstract

fetched live from OpenAlex

Ce colloque entend explorer des problématiques associées à quatre axes de recherche principaux. Le premier concerne le rôle de la traduction dans le développement et la diffusion des idées politiques ; le deuxième prend en considération les pratiques traductives au sein des institutions politiques ; le troisième envisage les pratiques collectives de la traduction politique au sein des mouvements sociaux et des groupes d’intérêt ; le quatrième porte sur les pratiques de la traduction journalistique, notamment dans le domaine de la politique internationale.

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)0.010
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 score0.115
Threshold uncertainty score0.385

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.010
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.003
Science and technology studies0.0070.011
Scholarly communication0.0290.009
Open science0.0010.005
Research integrity0.0060.011
Insufficient payload (model declined to judge)0.1150.034

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 head0.031
GPT teacher head0.272
Teacher spread0.241 · 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".

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Citations0
Published2018
Admission routes1
Has abstractno

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