MétaCan
Menu
Back to cohort
Record W2413388105 · doi:10.3917/parti.014.0005

Les circulations transnationales de l’ingénierie participative

2016· article· fr· W2413388105 on OpenAlexaff
Alice Mazeaud, Magali Nonjon, Raphaëlle Parizet

Bibliographic record

VenueParticipations · 2016
Typearticle
Languagefr
FieldSocial Sciences
TopicPolicy Transfer and Learning
Canadian institutionsInstitute of Particle Physics
Fundersnot available
KeywordsHumanitiesPolitical scienceSociologyPhilosophy

Abstract

fetched live from OpenAlex

À partir d’une lecture croisée des articles rassemblés dans ce dossier, cette introduction interroge l’existence d’un « tournant participatif mondial » en analysant les dynamiques transnationales de circulation verticale (de l’international vers le national ou le local) et horizontale (territoires entre eux, acteurs appartenant aux mêmes espaces institutionnels et sociaux) de l’ingénierie participative. En situant l’analyse de ces dynamiques circulatoires au croisement des travaux de sociologie et d’anthropologie (circulation des formes démocratiques et sociologie fine des acteurs de la circulation), de sociologie des sciences (circulation des innovations) ainsi que ceux de science politique (transnationalisation des politiques publiques), cet article invite d’une part à relativiser la dimension coercitive exercée par les organisations internationales développée par les approches critiques de la « tyrannie » de la participation. D’autre part, à rebours d’une vision trop déterministe qui fait de l’appropriation du discours et des pratiques participatives par les acteurs locaux le signe mécanique de leur adhésion à la rhétorique participative, l’article met en exergue la pluralité des investissements, plus ou moins intéressés, dans la participation. Enfin, la valorisation systématique de « bonnes pratiques » et d’expériences modèles dans les processus circulatoires étudiés conduit à mettre l’accent sur le rôle des réseaux professionnels et les usages stratégiques de l’international dans le cadre de la compétition entre les territoires.

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)0.006
metaresearch head score (Gemma)0.009
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.012
Threshold uncertainty score0.047

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0060.015
Scholarly communication0.0120.010
Open science0.0010.006
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0090.001

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 head0.165
GPT teacher head0.421
Teacher spread0.256 · 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 designTheoretical or conceptual
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

Citations35
Published2016
Admission routes1
Has abstractyes

Explore more

Same venueParticipationsSame topicPolicy Transfer and LearningFrench-language works237,207