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Record W2278353876

Needs assessment for development of 6for6: Longitudinal research skills program tailored to rural and remote family physicians.

2016· review· en· W2278353876 on OpenAlexaffabout
Patti McCarthy, Cheri Bethune, Shari Fitzgerald, Wendy Graham, Shabnam Asghari, Thomas Heeley, Marshall Godwin

Bibliographic record

VenuePubMed · 2016
Typereview
Languageen
FieldHealth Professions
TopicGlobal Health Workforce Issues
Canadian institutionsMemorial University of Newfoundland
Fundersnot available
KeywordsMedical educationNeeds assessmentCurriculumFocus groupMedicineProgram evaluationPsychologyPedagogySociologyPolitical science
DOInot available

Abstract

fetched live from OpenAlex

PROBLEM ADDRESSED: Rural and remote family physicians (RRFPs) face greater barriers to research engagement than their urban colleagues and have access to fewer faculty development programs (FDPs) to foster their research skills. OBJECTIVE OF PROGRAM: To identify and prioritize skills and services that RRFPs need to engage in research. PROGRAM DESCRIPTION: Memorial University of Newfoundland in St John's used a needs assessment as the foundation for developing an FDP for RRFPs. The assessment comprised a systematic literature review and environmental scan, key informant interviews (n = 10), a focus group with RRFPs (n = 15), expert group meetings (n = 2), and needs assessment surveys (n = 19). CONCLUSION: The assessment identified barriers to RRFPs engaging in research, priority considerations for the development of a research FDP for RRFPs, and research areas to be included in the program curriculum. This information was used to inform phases 2 and 3 of program development, which are further discussed in a companion article.

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)0.005
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.962
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0010.001
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 head0.223
GPT teacher head0.547
Teacher spread0.323 · 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 designOther design
Domainnot available
GenreReview

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

Citations14
Published2016
Admission routes2
Has abstractyes

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