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Record W2769975178 · doi:10.3917/sdd.006.0054

Le design au service de l’expérience patient

2017· article· fr· W2769975178 on OpenAlexaboutno aff
Valérie Côté, Lynda Bélanger, Caroline Gagnon

Bibliographic record

VenueSciences du Design · 2017
Typearticle
Languagefr
FieldHealth Professions
TopicHealth, Medicine and Society
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPolitical sciencePhilosophy

Abstract

fetched live from OpenAlex

Le système de santé québécois fait face à de nombreux défis, notamment en ce qui a trait au vieillissement de la population, à la baisse des ressources médicales et à la volonté sociale de mourir dans la dignité. Il apparaît donc souhaitable de développer de nouveaux services pour une expérience de soins plus humaine où l’environnement physique et émotionnel est considéré. Toutefois, les processus qui visent l’amélioration de cette expérience sont peu connus et certains croient que les approches du design permettraient des soins plus humains et ce, par des approches collaboratives. Le souci de construire pour et avec les individus touchés par ce type de problématique sociale renvoie à une certaine éthique de la sollicitude (éthique du care ) où être juste correspond à un « prendre soin » des autres. L’article propose donc un cadre de réflexion autour de la notion de « care », mais surtout autour de la notion de participation afin d’explorer le rôle que tient le design dans l’élaboration de services en milieu de soins.

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)0.014
metaresearch head score (Gemma)0.019
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.053
Threshold uncertainty score0.108

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0140.019
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0080.016
Scholarly communication0.0110.005
Open science0.0020.007
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0220.003

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 head0.214
GPT teacher head0.431
Teacher spread0.216 · 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 designNot applicable
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

Citations20
Published2017
Admission routes1
Has abstractyes

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