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Record W2068351607 · doi:10.1093/reseval/rvt029

The use of academic research in public health policy and practice

2013· article· en· W2068351607 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

VenueResearch Evaluation · 2013
Typearticle
Languageen
FieldHealth Professions
TopicHealth Policy Implementation Science
Canadian institutionsUniversity of Toronto
FundersNature
KeywordsLibrary scienceManagementPolitical scienceMedia studiesSociologyPublic administration

Abstract

fetched live from OpenAlex

This study sought to gain a better understanding of the ways in which users access academic research, by observing decision-making at the micro level in a public health unit (PHU) in Ontario, Canada. The overarching question guiding the study is as follows: how do PHU staff members access, engage with, and make use of academic research in order to advance their mandate? Ethnographic methods were used to collect data from direct observations and informant input, augmented by document review. A two-dimensional (2D) continuum of research use was adopted as an organizing heuristic. Research use was shown to be highly dynamic, spanning (spatially) across and transitioning (temporally) through both dimensions of the 2D organizing heuristic. While this research focuses on the context of use, it acknowledges interactions with the other contexts. This study suggests that users may have more ‘agency’ in the ways in which they engage with and use research. The full range of possibilities discussed is critical for accurately documenting the impacts of academic research. Findings should be relevant to other sectors where research use capacity is being developed.

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)0.263
metaresearch head score (Gemma)0.317
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies, Research integrity
Consensus categoriesMetaresearch
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.738
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.2630.317
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.004
Science and technology studies0.0020.001
Scholarly communication0.0000.002
Open science0.0000.000
Research integrity0.0000.002
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 head0.992
GPT teacher head0.877
Teacher spread0.114 · 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