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Record W1966473912 · doi:10.1177/0163278707311870

When Is Knowledge Ripe for Primary Care?

2007· article· en· W1966473912 on OpenAlex
Marie‐Dominique Beaulieu, Michelle Proulx, Guy Jobin, Marianne Kugler, Françis Gossard, Jean‐Louis Denis, Danielle Larouche

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.

Bibliographic record

VenueEvaluation & the Health Professions · 2007
Typearticle
Languageen
FieldHealth Professions
TopicHealth Sciences Research and Education
Canadian institutionsHôpital Charles-Le MoyneUniversité LavalUniversité de Montréal
Fundersnot available
KeywordsPrimary careMedicinePsychologyFamily medicine

Abstract

fetched live from OpenAlex

The objectives of this study were to explore the meaning of scientific evidence as it is understood by primary care physicians. Individual interviews were conducted with actors chosen for their roles in the production and use of knowledge: 22 family physicians, 13 specialist physicians, and 6 researchers. Two situations served as points of reference for these discussions: screening for genetic breast cancer and treatment of hypertension. The results suggest that there may be a misunderstanding between the producers of knowledge and primary care practitioners with respect to what constitutes "evidence"--knowledge ready for integration into the clinical practice of primary care. These potential differences go beyond the issues of how information is disseminated. Rather, many of the questions raised by family physicians concern how knowledge is developed. In the interests of fostering better dissemination of new knowledge and encouraging its adoption, new links should be created between knowledge "producers" and potential users.

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)0.035
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies, Insufficient 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: Empirical · Consensus signal: none
Teacher disagreement score0.621
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0350.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0090.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.411
GPT teacher head0.622
Teacher spread0.212 · 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