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Record W4382811527 · doi:10.4000/vertigo.39576

La transdisciplinarité à l’épreuve de l’engagement, réflexions à partir de l’application de la méthode photovoice

2023· article· fr· W4382811527 on OpenAlexvenueno aff
Anastasia Seferiadis

Bibliographic record

VenueVertigO · 2023
Typearticle
Languagefr
FieldSocial Sciences
TopicParticipatory Visual Research Methods
Canadian institutionsnot available
Fundersnot available
KeywordsTransdisciplinarityPhotovoiceTransformative learningSociologyEpistemologyCitizen journalismHumanitiesEngineering ethicsPhilosophySocial sciencePedagogyComputer scienceEngineering

Abstract

fetched live from OpenAlex

Alors que la « transdisciplinarité » est un terme utilisé de manière croissante, au regard notamment de son potentiel pour éclairer les problématiques complexes telles que mises en avant par les sciences de la durabilité, les contours de ses définitions demeurent flous. En m’appuyant sur mon expérience de mobilisation d’un outil spécifique de recherche participative basé sur la photographie – photovoice- je présente, ici, une analyse de la transdisciplinarité par la pratique. Il s’agira ainsi de montrer par le terrain comment cette démarche scientifique propose une approche critique de la construction des connaissances au travers d’une (in)discipline rigoureuse. La transdisciplinarité apparait ainsi comme une épistémologie transformatrice, produisant des connaissances qui peuvent provoquer des transformations au niveau des socio-écosystèmes. Il s’agit également d’une transformation épistémologique, ce sont en effet des connaissances co-construites qui mobilisent des modes de raisonnements holistiques, itératifs, et relationnels. La vision de la transdisciplinarité développée dans cet article l’inscrit dans une perspective engagée de déconstruction des rapports de pouvoir inhérents aux processus de co-construction des connaissances.

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 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)0.024
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.632
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0240.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0010.002
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0000.001

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 head0.532
GPT teacher head0.595
Teacher spread0.063 · 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 teacher head, not a consensus.

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

Citations0
Published2023
Admission routes1
Has abstractyes

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Same venueVertigOSame topicParticipatory Visual Research MethodsFrench-language works237,207