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Record W3168956768 · doi:10.3917/sdd.013.0042

Le design comme posture méthodologique : de l’ambiguïté de la recherche-projet, l’expérience du projet INSÉPArable

2021· article· fr· W3168956768 on OpenAlexaff
Caroline Gagnon, Valérie Côté, Daphney St‐Germain, Lynda Bélanger

Bibliographic record

VenueSciences du Design · 2021
Typearticle
Languagefr
FieldSocial Sciences
TopicParticipatory Visual Research Methods
Canadian institutionsOntario College of Art and DesignUniversité Laval
Fundersnot available
KeywordsHumanitiesPolitical scienceArt

Abstract

fetched live from OpenAlex

Les méthodologies du design sont de plus en plus utilisées dans les secteurs de la santé afin d’apporter des solutions plus adaptées au contexte complexe des populations desservies. Ces méthodes s’appuient beaucoup sur des approches de collecte de données qualitatives et des démarches de codesign afin d’aboutir à des propositions ancrées dans les réalités vécues sur le terrain. Cependant, ces démarches relèvent certaines ambiguïtés, oscillant entre projet de recherche et projet de design, ambiguïtés qui ont trouvé écho lors de l’expérience de la recherche-projet INSÉPArable regroupant des chercheuses en design, en sciences infirmières et en psychologie. Des divergences sur le rôle qu’y tient le design ont mis en évidence sa nature opérationnelle, où l’accent est alors mis sur la pratique du design plutôt que sur sa capacité à produire des connaissances. Ces tensions disciplinaires invitent à mieux situer en amont de la démarche de recherche, le positionnement scientifique du design.

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)0.120
metaresearch head score (Gemma)0.126
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: Methods
Teacher disagreement score0.120
Threshold uncertainty score0.635

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.1200.126
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0050.004
Science and technology studies0.0080.047
Scholarly communication0.0240.016
Open science0.0040.010
Research integrity0.0050.007
Insufficient payload (model declined to judge)0.0100.003

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 head0.915
GPT teacher head0.649
Teacher spread0.266 · 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 designQualitative
Domainnot available
GenreMethods

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

Citations2
Published2021
Admission routes1
Has abstractyes

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