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Record W4234924149 · doi:10.3109/21614083.2013.779580

The benefits of accrediting institutions and organisations as providers of continuing professional education

2013· article· en· W4234924149 on OpenAlexaff
Murray Kopelow, Craig Campbell

Bibliographic record

VenueJournal of European CME · 2013
Typearticle
Languageen
FieldHealth Professions
TopicHealthcare Quality and Management
Canadian institutionsRoyal College of Physicians and Surgeons of Canada
Fundersnot available
KeywordsAccreditationContext (archaeology)BusinessContinuing educationProfessional developmentProfessional associationMedical educationHigher educationPublic relationsPolitical scienceMedicine

Abstract

fetched live from OpenAlex

Professionals learn and change throughout their careers. This continuing professional development is supported, in part, by educational activities developed by individuals, organisations or institutions.In Europe and North America, processes have been established to set standards for the design and delivery of continuing healthcare professionals’ education (CE) that involve either approval of organisations as institutional providers of CE (i.e. accreditation) or approval of individual CE activities.In systems based on provider accreditation, the accredited organisations develop into communities of practice that show evidence of learning and changing such as to allow the CE system to evolve. In addition the provider accreditation model provides an amplification effect not found in activity accreditation systems, whereby one accreditation decision can result in multiple activities being generated. Additional efficiencies can be identified and may be useful to those determining if a provider accreditation system is an appropriate fit for their system, for their context and for the culture of professional education in which they operate.

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)0.002
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.659
Threshold uncertainty score0.379

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
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 head0.090
GPT teacher head0.427
Teacher spread0.337 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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

Citations5
Published2013
Admission routes1
Has abstractyes

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