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Record W4296554558 · doi:10.3917/atic.004.0103

Le co-design de technologies de eSanté : Un enchevêtrement de conversations, de tensions créatrices et d’inscriptions circulantes

2022· article· fr· W4296554558 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

VenueApproches Théoriques en Information-Communication (ATIC) · 2022
Typearticle
Languagefr
FieldSocial Sciences
TopicDiverse multidisciplinary academic research
Canadian institutionsInstitut du Savoir Montfort
Fundersnot available
KeywordsHumanitiesPhilosophy

Abstract

fetched live from OpenAlex

L’objectif de cet article est d’examiner les processus de communication qui sont au cœur du design de technologies de eSanté. Pour ce faire, nous prendrons appui sur un projet de design d’une plateforme de eSanté pour et avec les personnes vivant avec la maladie de Parkinson. À travers la présentation de « vignettes » décrivant certaines étapes du processus de design participatif (ou co-design), nous montrerons en quoi la communication est constitutive du design d’une technologie de eSanté. Nous porterons alors notre attention sur trois éléments : (a) la réduction de l’équivocité inhérente à la situation de conception et le processus de sensemaking ; (b) l’émergence de tensions créatrices ancrées dans l’expression de la multiplicité des points de vue ; (c) la production de multiples artéfacts traduisant des valeurs dans le 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.

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)0.009
metaresearch head score (Gemma)0.003
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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.792
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0090.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.001
Scholarly communication0.0000.003
Open science0.0020.001
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0000.000

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 head0.038
GPT teacher head0.335
Teacher spread0.297 · 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