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Record W4401888537 · doi:10.5334/ijic.8639

The Integrated Care World is a Stage: Applying Goffman’s Theory of Dramaturgy to the Activities of Integrated Care

2024· article· en· W4401888537 on OpenAlexaffabout
Carolyn Steele Gray, James Shaw, G. Ross Baker, Kerry Kuluski, Walter P. Wodchis

Bibliographic record

VenueInternational Journal of Integrated Care · 2024
Typearticle
Languageen
FieldArts and Humanities
TopicArt Therapy and Mental Health
Canadian institutionsTrillium Health CentreArtificial Intelligence in Medicine (Canada)Digital Payment Technologies (Canada)Lunenfeld-Tanenbaum Research InstituteResponse Biomedical (Canada)Women's College HospitalUniversity of Toronto
Fundersnot available
KeywordsDramaturgyIntegrated careSociologyManagementHealth carePolitical scienceAestheticsArtEconomics

Abstract

fetched live from OpenAlex

Among the challenges in delivering integrated health and social care services is the need to attend to the coordination of tasks, roles, activities, and operations, while considering how these efforts are experienced by patients, carers and communities. The literature has noted an important disconnect between how providers and leaders view their efforts to coordinate service delivery, and how patients perceive these efforts on the receiving end. Our team has provided guidance to integrated care efforts in Ontario, Canada by drawing on Goffman's theory of Dramaturgy to help classify the actions of integrated care delivery as linked to the roles individuals play in the delivery of care. Using this framing helps to uncover how "backstage" processes (such as team-functioning, funding models, and digital infrastructures) create a necessary foundation on which "frontstage" actions (or performances) can be effectively delivered.

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)0.006
metaresearch head score (Gemma)0.006
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: Empirical · Consensus signal: none
Teacher disagreement score0.079
Threshold uncertainty score0.178

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.006
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0040.003
Science and technology studies0.0090.066
Scholarly communication0.0120.014
Open science0.0020.009
Research integrity0.0030.005
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 head0.022
GPT teacher head0.296
Teacher spread0.274 · 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
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

Citations7
Published2024
Admission routes2
Has abstractyes

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