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The CanMEDS portfolio: a tool for reflection in a fellowship programme

2011· article· en· W2031633660 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

VenueThe Clinical Teacher · 2011
Typearticle
Languageen
FieldMedicine
TopicInnovations in Medical Education
Canadian institutionsSickKids FoundationHospital for Sick ChildrenUniversity of Toronto
Fundersnot available
KeywordsPortfolioMedical educationCurriculumSet (abstract data type)Reflection (computer programming)PsychologyReflective writingProfessional developmentReflective practicePosition (finance)MedicinePedagogyComputer scienceBusiness

Abstract

fetched live from OpenAlex

BACKGROUND: We developed a portfolio framed by the CanMEDS roles for use in a paediatric fellowship programme. The portfolio includes four components: a record of participation and achievement; career goals and professional development; physical evidence; and reflective writing. METHODS: Once the portfolio was in use for 6 months, we studied how fellows and faculty members were using the portfolio, and what they found to be its advantages and disadvantages. RESULTS: Fellows reported that it kept them organised and assisted them in setting their goals. They appreciated having a central place to record their accomplishments, as this allowed them to keep a thorough curriculum vitae. The portfolio was helpful in giving them the opportunity to honestly reflect on their achievements and setbacks, and, after reviewing this in their own minds, they were in a strong position to set an agenda for their meetings with supervisors. Both the fellows and supervisors were in agreement that the portfolio led to improved discussions at their meetings. Both groups also reported that this new tool was useful in furthering the career development of trainees, which was one of the main goals in its inception. Faculty supervisors also had a stronger sense of the fellows' work, and also of any gaps in training, as a result of using this tool. DISCUSSION: We hope that this reflection tool will be adapted for use in other training programmes. If it is introduced elsewhere, we would recommend that learners and staff receive ample training in its use so that it can be maximally effective.

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)0.006
metaresearch head score (Gemma)0.008
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 score0.751
Threshold uncertainty score0.919

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.256
GPT teacher head0.475
Teacher spread0.219 · 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