MétaCan
Menu
Back to cohort
Record W4200404195 · doi:10.3917/comla1.210.0147

Futurs résilients et adaptés : le rôle des imaginaires communs pour s’adapter aux changements climatiques

2021· article· fr· W4200404195 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueCommunication & langages · 2021
Typearticle
Languagefr
FieldSocial Sciences
TopicClimate Change Communication and Perception
Canadian institutionsQuebec Rehabilitation Research Network
Fundersnot available
KeywordsHumanitiesArtPolitical science

Abstract

fetched live from OpenAlex

Le changement climatique constitue un enjeu complexe, global, générateur d’incertitudes multiples, étendu dans le temps, et dont les impacts nécessitent aujourd’hui l’adaptation des systèmes humains et naturels. Or, l’adaptation fait face à un certain nombre de barrières – techniques, sociales, culturelles, cognitives – qui pourraient être en partie levées par la force motrice des récits, des imaginaires, et de la fiction. Cet article constitue un état de l’art original qui interroge l’apport des imaginaires collectifs et prospectifs dans l’adaptation aux changements climatiques. Nous concluons qu’il est nécessaire de mener davantage de travaux de recherches transdisciplinaires portant sur la scénarisation prospective citoyenne, en particulier élaborée à partir de récits locaux existants, nourrie d’imaginaires d’avenirs positifs, et guidée par des outils de fictionnalisation.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.610
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0030.001
Scholarly communication0.0000.001
Open science0.0020.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.461
GPT teacher head0.470
Teacher spread0.009 · 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