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Record W2990950394

Quebec College of Family Physicians' new formal mentorship program.

2019· article· en· W2990950394 on OpenAlexaffabout
Luc Côté, Dominique Deschênes, Éveline Hudon, Sophie Galarneau, Geneviève Bolduc

Bibliographic record

VenuePubMed · 2019
Typearticle
Languageen
FieldPsychology
TopicMentoring and Academic Development
Canadian institutionsCollege of Family Physicians of CanadaUniversité Laval
Fundersnot available
KeywordsMentorshipMedical educationMedicineClinical PracticeFamily medicineNursing
DOInot available

Abstract

fetched live from OpenAlex

PROBLEM ADDRESSED: The stresses that arise during the first years of practice can discourage future physicians from choosing family medicine. Quebec is experiencing challenges in recruiting clinical family physicians to replace those nearing retirement. Mentorship is a promising approach that supports future family physicians. OBJECTIVE OF PROGRAM: To help family physicians at the beginning of their practice to adequately cope with the issues and challenges that come with professional integration and their personal and professional development. PROGRAM DESCRIPTION: A 12-month program that pairs mentors with mentees, on the mentee's initiative; it provides supports for mentors (such as a community of practice), and it comprises meeting formats that encourage the participation of mentees and mentors from different geographic regions across Quebec. CONCLUSION: Engaging and supporting mentees and mentors are essential to success, but might also present organizational challenges to sustaining formal mentorship programs for new family physicians in Quebec.

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)0.001
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: Incentives · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.999
Threshold uncertainty score0.383

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.1140.007

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 head0.037
GPT teacher head0.283
Teacher spread0.246 · 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 designNot applicable
DomainIncentives
GenreOther

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

Citations4
Published2019
Admission routes2
Has abstractyes

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