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Record W4375950933 · doi:10.1111/jep.13824

On crowns, caravans and windmills: Commentary on an essay by Turcotte P., et al.

2023· article· en· W4375950933 on OpenAlexaboutno aff
Peter Wyer

Bibliographic record

VenueJournal of Evaluation in Clinical Practice · 2023
Typearticle
Languageen
FieldHealth Professions
TopicHealth Policy Implementation Science
Canadian institutionsnot available
Fundersnot available
KeywordsPhilosophyMedicineHistory

Abstract

fetched live from OpenAlex

Patient-oriented research (POR) is a trend that has emerged over several decades and is particularly prominent in Canada, the United States and the United Kingdom. It involves patient and other stakeholder participation in the planning, conduct and dissemination of biomedical and health services research and it can be seen as a form of public participation and engagement in activities that affect the lives and well-being of communities. Criticisms of POR revolve around its susceptibility to tokenistic treatment of patient participants and paternalistic dominance of the research agenda by professional researchers, academics and clinicians. This commentary addresses one such critique by situating the POR agenda within the challenges and dilemmas faced by the health-related research enterprise over the past 30 years. It will explore the interface between POR, community activism and community-based participatory research. The contextual importance of the COVID-19 pandemic experience is stressed. The commentary will particularly focus on the US-based Patient Centred Outcomes Research Institute, its origins within a movement to enhance emphasis on publicly funded comparative effectiveness research, and its more recent evolution in the direction of community empowerment in POR.

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)0.018
metaresearch head score (Gemma)0.104
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.050
Threshold uncertainty score0.093

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0180.104
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0030.002
Bibliometrics0.0020.003
Science and technology studies0.0130.017
Scholarly communication0.0090.012
Open science0.0090.006
Research integrity0.0500.066
Insufficient payload (model declined to judge)0.0050.004

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 head0.642
GPT teacher head0.761
Teacher spread0.119 · 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 designNot applicable
Domainnot available
GenreCommentary

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

Citations3
Published2023
Admission routes1
Has abstractyes

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Same venueJournal of Evaluation in Clinical PracticeSame topicHealth Policy Implementation ScienceFrench-language works237,207