MétaCan
Menu
Back to cohort
Record W2904236642 · doi:10.12927/hcq.2018.25639

Patient Roles in Engagement-Capable Environments: Multiple Perspectives

2018· article· en· W2904236642 on OpenAlexaff
Paula Rowland, Mireille Brosseau, Claudia Houle

Bibliographic record

VenueHealthcare Quarterly · 2018
Typearticle
Languageen
FieldHealth Professions
TopicMental Health and Patient Involvement
Canadian institutionsCanadian Patient Safety InstituteCARE CanadaThe Wilson Centre
Fundersnot available
KeywordsPerspective (graphical)PsychologyBest practiceComputer sciencePolitical science

Abstract

fetched live from OpenAlex

Engagement-capable environments have well-defined roles for patients. These roles are often described in terms of their functional aspects. In this paper, we provide a complementary way of thinking about patient roles: an interactionist perspective. For interactionists, roles evolve through social interactions and contextual demands that shape how the work is performed. Drawing from a case example at Health Standards Organization (HSO), we demonstrate the need for engagement leaders to attend to functional descriptions of patient roles and their interactive possibilities. Finally, we argue for the connection between multiple patient roles and engagement-capable environments.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.346
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.002

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 head0.111
GPT teacher head0.389
Teacher spread0.278 · 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; both teacher heads agree on what is shown here.

Study designQualitative
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

Citations10
Published2018
Admission routes1
Has abstractyes

Explore more

Same venueHealthcare QuarterlySame topicMental Health and Patient InvolvementFrench-language works237,207