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Record W1986670652 · doi:10.1332/174426412x620100

Perceptions of the usefulness and use of research conducted in other countries

2012· article· en· W1986670652 on OpenAlexaff
Helen Burchett, John N. Lavis, Susannah Mayhew, Mark Dobrow

Bibliographic record

VenueEvidence & Policy · 2012
Typearticle
Languageen
FieldHealth Professions
TopicPrimary Care and Health Outcomes
Canadian institutionsUniversity of TorontoMcMaster University
Fundersnot available
KeywordsPreferencePerceptionWork (physics)PsychologyApplied psychologyEngineeringStatisticsMathematics

Abstract

fetched live from OpenAlex

Semi-structured interviews in Ghana and England explored perceptions of the usefulness and use of foreign research (ie, beyond the original study country) compared to locally conducted research (ie, conducted in Ghana). There was a preference for locally conducted studies, although interviewees generally recognised the potential usefulness of foreign research. Various factors affected whether foreign research was considered useful or used; it was not used automatically or indiscriminately. Researchers should recognise the potential usefulness of their research beyond the original study country. Further work is needed to explore how to maximise the utility of foreign research, as a means of enabling evidence-informed decision making where locally conducted research is not available.

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)0.108
metaresearch head score (Gemma)0.158
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: Evaluation · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.892
Threshold uncertainty score0.569

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.1080.158
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.002
Science and technology studies0.0030.008
Scholarly communication0.0060.006
Open science0.0010.004
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0040.000

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 head0.403
GPT teacher head0.566
Teacher spread0.163 · 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.

Study designQualitative
DomainEvaluation
GenreEmpirical

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

Citations9
Published2012
Admission routes1
Has abstractyes

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