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Record W2112094190 · doi:10.12927/hcpol.2007.18528

Knowledge Translation through Research-Based Theatre

2006· article· en· W2112094190 on OpenAlex
Joan M. Eakin, Marion Endicott

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.
venuePublished in a venue whose home country is Canada.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueHealthcare policy · 2006
Typearticle
Languageen
FieldComputer Science
TopicOnline Learning and Analytics
Canadian institutionsToronto Public HealthPublic Health OntarioUniversity of Toronto
Fundersnot available
KeywordsKnowledge translationWork (physics)Focus (optics)Knowledge managementPublic relationsMedical educationSociologyComputer sciencePolitical scienceMedicineEngineering

Abstract

fetched live from OpenAlex

This case documents the metamorphosis of an academic public health project on the implementation of Ontario's return-to-work policies and practices into a community theatre project, the production of a play called Easy Money. The result was a highly successful knowledge translation initiative. Injured workers, the focus of the academic study, intensely identified with the play and were given hope that their individual experiences could be broadly translated. For the researchers, the undertaking provided new perspectives on the original research problem, validated their original findings and generated numerous topics for subsequent research.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.975
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.188
GPT teacher head0.469
Teacher spread0.281 · 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