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Evaluation plan of the 6for6 research skills program for rural and remote physicians

2021· article· en· W3135754019 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.

Bibliographic record

VenueEvaluation and Program Planning · 2021
Typearticle
Languageen
FieldHealth Professions
TopicGlobal Health Workforce Issues
Canadian institutionsMemorial University of NewfoundlandHealth Sciences CentreSt. John’s Health Sciences Centre
Fundersnot available
KeywordsPlan (archaeology)Medical educationScholarshipDelphi methodGeneral partnershipParticipatory action researchGovernment (linguistics)Program evaluationParticipatory evaluationPublic relationsMedicinePolitical scienceSociologyComputer sciencePublic administration

Abstract

fetched live from OpenAlex

Overwhelming issues and barriers often prevent rural and remote physicians (RRPs) from pursuing the many socially accountable research questions they encounter on a daily basis. Although research training programs can empower RRPs to rise to these challenges, there is a lack of evidence on how they should be developed and refined. At Memorial University, a faculty development program (FDP) called 6for6 has been helping RRPs surmount their research quagmires and engage in scholarship since 2014. After an initial three-year (2014-17) pilot, we prepared a detailed plan to evaluate the 6for6 research FDP for RRPs and inform future years of delivery. Using a modified Delphi method and participatory action model a group of program team members, stakeholders and evaluation experts developed an evaluation plan including a logic model and an evaluation matrix addressing five key themes. To our knowledge, this is the first evaluation plan for a research-focused FDP targeting RRPs. While this plan was developed specifically for the 6for6 FDP, our approach to its development may be useful to any institution interested in evaluating an FDP with limited resources.

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)0.010
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.977
Threshold uncertainty score0.927

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0100.002
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)0.0000.000

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 head0.236
GPT teacher head0.609
Teacher spread0.373 · 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