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Practice-based small group learning in GP specialty training

2012· article· en· W1419554275 on OpenAlex
Hannah Hesselgreaves, Ronald MacVicar

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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueEducation for Primary Care · 2012
Typearticle
Languageen
FieldMedicine
TopicInnovations in Medical Education
Canadian institutionsnot available
Fundersnot available
KeywordsSpecialtyTraining (meteorology)Medical educationGroup (periodic table)General practiceMedicinePsychologyComputer scienceFamily medicineGeography

Abstract

fetched live from OpenAlex

INTRODUCTION: Practice-based small group learning (PBSGL) is an approach to continuing professional development (CPD) for general practitioners (GPs) that originated in Canada. It involves small groups of GPs who work through clinical modules. PBSGL is now an established method of learning in Scotland, found to be effective in GP, practice nurse and multi-professional cohorts. However, the effectiveness of PBSGL has not been examined in GP specialty training, where it is becoming widely employed. This research aimed to explore GP Specialty Trainees' (GPSTs') perspectives of the impact of PBSGL on curriculum needs, preparation for independent practice, and facilitator learning. METHODS: To avoid the risk of extrapolating assumptions from others who have used PBSGL as a learning strategy, this study adopted a qualitative approach, and conducted one-to-one interviews with 16 GPSTs from a range of Scottish deaneries and stages in training. Data took the form of verbatim transcripts, and the constant comparative technique from grounded theory was used to analyse the data, through the establishment of codes and categories. RESULTS: Findings were arranged in four main areas: • learning as a group was appreciated at this career stage, and group membership should consist of trainees at a similar career stage, as this supports psychological safety • PBSGL helped in locating a 'one best way' for future care planning, but was also used to find alternatives to trainees' current approaches • discussion during PBSGL helped GPSTs devise plans for how they would handle patients in the future • some facilitators moderated their involvement for the perceived benefit of the group. DISCUSSION AND CONCLUSION: Learning is experienced in a very unique way for GPSTs, and the views of the cohort are formed on the basis of the delicate stage in their career. Aiding the transition from structured education into independent practice is a more immediate need for GPSTs than curriculum needs.

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)0.001
metaresearch head score (Gemma)0.003
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 score0.897
Threshold uncertainty score0.522

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.003
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 integrity0.0000.000
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 head0.034
GPT teacher head0.342
Teacher spread0.308 · 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