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Record W4321353229 · doi:10.34172/ijhpm.2023.7908

Attributes and Features of Context Relevant to Knowledge Translation in Health Settings: A Response to Recent Commentaries

2023· letter· en· W4321353229 on OpenAlexafffund
Janet E. Squires, Wilmer J. Santos, Ian D. Graham, Jamie Brehaut, Janet Curran, Jill Francis, Jeremy Grimshaw, Michael Hillmer, Noah Ivers, John N. Lavis, Susan Michie, Thomas Noseworthy, Alison M. Hutchinson

Bibliographic record

VenueInternational Journal of Health Policy and Management · 2023
Typeletter
Languageen
FieldHealth Professions
TopicHealth Policy Implementation Science
Canadian institutionsUniversity of CalgaryImpactPublic Health OntarioMcMaster UniversityWomen's College HospitalOttawa HospitalMinistry of Health and Long Term CareIzaak Walton Killam Health CentreUniversity of TorontoDalhousie UniversityUniversity of Ottawa
FundersCanadian Institutes of Health ResearchNational Institute for Health and Care Research
KeywordsKnowledge translationContext (archaeology)Translation (biology)Knowledge managementData sciencePsychologyComputer scienceGeographyBiology

Abstract

fetched live from OpenAlex

<p>Attributes and Features of Context Relevant to Knowledge Translation in Health Settings: A Response to Recent Commentaries</p>

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)0.012
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
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 score0.105
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0120.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.372
GPT teacher head0.611
Teacher spread0.239 · 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 teacher head, not a consensus.

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

Citations12
Published2023
Admission routes2
Has abstractyes

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