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Record W1494457276 · doi:10.1002/9781444311747.ch3

The Knowledge‐to‐Action Cycle

2009· other· en· W1494457276 on OpenAlexaff
Sharon E. Straus, Alison Kitson, Margaret B. Harrison, Ian D. Graham, Béatrice Fervers, France Légaré, Barbara Davies, Nancy Edwards, Sumit R. Majumdar

Bibliographic record

Venuenot available
Typeother
Languageen
FieldHealth Professions
TopicHealth Policy Implementation Science
Canadian institutionsUniversity of AlbertaUniversité LavalCanadian Institutes of Health ResearchUniversity of OttawaQueen's UniversityHôpital Saint-François d'AssiseUniversity of TorontoSt. Michael's Hospital
Fundersnot available
KeywordsAction (physics)Context (archaeology)Knowledge managementPsychological interventionDomain knowledgeComputer sciencePsychologyGeography

Abstract

fetched live from OpenAlex

This chapter contains sections titled: The action cycle Identifying the knowledge-to-action gaps Adapting knowledge to a local context Assessing barriers and facilitators to knowledge use Selecting KT interventions Monitoring and evaluating knowledge Sustaining knowledge use Case examples

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient 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: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.029
Threshold uncertainty score0.990

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0140.042

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 head0.677
GPT teacher head0.755
Teacher spread0.078 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

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

Citations18
Published2009
Admission routes1
Has abstractyes

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