MétaCan
Menu
Back to cohort
Record W3044705015 · doi:10.7202/1088144ar

Communautés d’innovation : de leur caractérisation au questionnement de leurs frontières

2021· article· fr· W3044705015 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueManagement international · 2021
Typearticle
Languagefr
FieldComputer Science
TopicOpen Source Software Innovations
Canadian institutionsnot available
FundersAgence Nationale de la Recherche
KeywordsPolitical science

Abstract

fetched live from OpenAlex

L’objectif de cette recherche est de proposer une caractérisation fine des communautés qui interagissent lors des projets d’innovation, en s’interrogeant sur leur caractère mutuellement exclusif ou sur la potentielle porosité de leurs frontières. A travers trois études de cas d’entreprises du sport outdoor, nous caractérisons trois types de communautés d’innovation (les communautés de pratique, épistémiques et d’utilisateurs) à l’aide de cinq caractéristiques (leurs membres, objectifs, dynamique organisationnelle, mode de communication et la nature de leurs liens sociaux). Par ailleurs, des mécanismes intrinsèques et extrinsèques sont identifiés comme étant à l’origine du décloisonnement des trois types de communautés identifiées.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.751
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.055
GPT teacher head0.307
Teacher spread0.252 · 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