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Record W2119737568 · doi:10.7202/017807ar

Étude de convivialité de l’utilisation d’un agenda électronique par des personnes souffrant de schizophrénie

2008· article· fr· W2119737568 on OpenAlexaffvenue
Juliette Sablier, Émmanuel Stip, Nicolás Franck, Sylvain Giroux, Hélène Pigot, Jean‐François Moreau, Blandine Paccoud

Bibliographic record

VenueSanté mentale au Québec · 2008
Typearticle
Languagefr
FieldMedicine
TopicSchizophrenia research and treatment
Canadian institutionsUniversité de SherbrookeHôpital du Sacré-Cœur de MontréalUniversité de Montréal
Fundersnot available
KeywordsHumanitiesPolitical sciencePsychologyPhilosophy

Abstract

fetched live from OpenAlex

La schizophrénie est associée à des troubles du fonctionnement mnésique et exécutif qui altèrent la capacité des patients à organiser leurs Activités de la Vie Quotidienne (AVQ). Afin d’améliorer leur autonomie et d’alléger la charge de leurs aidants, nous proposons de programmer des organiseurs en fonction des besoins spécifiques de chaque patient. Ces agendas électroniques permettent de rappeler au patient ses AVQ, et d’augmenter la communication avec l’aidant. Cette étude de convivialité vérifie que l’organiseur pressenti est fonctionnel. Malgré les problèmes techniques rencontrés, tous les participants ont été séduits par l’utilisation des organiseurs. Les aidants ont été convaincus que ces outils amélioreraient la qualité de vie des patients et constitueraient un complément de travail précieux. Les agendas seront améliorés d’après les commentaires des participants et testés dans une étude ultérieure.

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)0.003
metaresearch head score (Gemma)0.014
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.834
Threshold uncertainty score0.330

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.014
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.002
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.027
GPT teacher head0.289
Teacher spread0.262 · 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 designObservational
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

Citations12
Published2008
Admission routes2
Has abstractyes

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