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Record W2943459228 · doi:10.1111/puar.13056

From Research Evidence to “Evidence by Proxy”? Organizational Enactment of Evidence‐Based Health Care in Four High‐Income Countries

2019· article· en· W2943459228 on OpenAlex

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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenuePublic Administration Review · 2019
Typearticle
Languageen
FieldHealth Professions
TopicHealth Policy Implementation Science
Canadian institutionsUniversity of OttawaUniversity of Alberta
Fundersnot available
KeywordsContextualizationInstitutionalisationProxy (statistics)Health careEvidence-based practiceDocumentary evidenceAuditPublic relationsBusinessPolitical scienceSociologyPsychologyAccountingMedicineLaw

Abstract

fetched live from OpenAlex

Abstract Drawing on multiple qualitative case studies of evidence‐based health care conducted in Sweden, Canada, Australia, and the United Kingdom, the authors systematically explore the composition, circulation, and role of codified knowledge deployed in the organizational enactment of evidence‐based practice. The article describes the “chain of codified knowledge,” which reflects the institutionalization of evidence‐based practice as organizational business as usual, and shows that it is dominated by performance standards, policies and procedures, and locally collected (improvement and audit) data. These interconnected forms of “evidence by proxy,” which are informed by research partly or indirectly, enable simplification, selective reinforcement, and contextualization of scientific knowledge. The analysis reveals the dual effects of this codification dynamic on evidence‐based practice and highlights the influence of macro‐level ideological, historical, and technological factors on the composition and circulation of codified knowledge in the organizational enactment of evidence‐based health care in different countries .

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.

Direct model labels (unvalidated)

Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.

Model armCategoriesStudy designConfidence
gptScience and technology studies
Domain: not available · Genre: Empirical
About the Canadian research system: no · About a Canadian topic: no
Qualitativehigh
grokno category
Domain: not available · Genre: Empirical
About the Canadian research system: no · About a Canadian topic: no
Qualitativehigh
opusScience and technology studies
Domain: not available · Genre: Empirical
About the Canadian research system: no · About a Canadian topic: yes
Qualitativemedium
models splitAgreement compares identical category sets and study designs across arms.

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)0.015
metaresearch head score (Gemma)0.022
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.842
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0150.022
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.003
Science and technology studies0.0010.000
Scholarly communication0.0000.002
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0060.001

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 head0.720
GPT teacher head0.689
Teacher spread0.031 · 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