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Record W4399474732 · doi:10.7899/jce-23-5

Development of a new examination for the Canadian Chiropractic Examining Board

2024· article· en· W4399474732 on OpenAlexaffabout
David Cane, Stefan Bell, Gemma Beierback, Anthony Marini, Anthony Tibbles

Bibliographic record

VenueJournal of Chiropractic Education · 2024
Typearticle
Languageen
FieldMedicine
TopicInnovations in Medical Education
Canadian institutionsCanadian Memorial Chiropractic CollegeCanadian Chiropractic AssociationEmergent BioSolutions (Canada)Government of British Columbia
Fundersnot available
KeywordsChiropracticLicensureSubject-matter expertObjective structured clinical examinationMedical educationSubject matterMedicinePhysical examinationPsychologyAlternative medicineComputer scienceCurriculumPedagogyArtificial intelligenceSurgery

Abstract

fetched live from OpenAlex

OBJECTIVE: Since 1963 the Canadian Chiropractic Examining Board has conducted competency examinations for individuals seeking licensure to practice chiropractic in Canada. To maintain currency with changes in practice, examination content and methodology have been regularly updated since that time. This paper describes the process used by the Canadian Chiropractic Examining Board to restructure the examination to ensure it was current and to align it with the 2018 Federation of Canadian Chiropractic's Canadian Chiropractic Entry-to-Practice Competency Profile. METHODS: A subject-matter-expert committee developed proposed candidate outcomes (indicators) for a new examination, derived from the competency profile. A national survey of practice was undertaken to determine the importance and frequency-of-use of the profile's enabling competencies. Survey results, together with other practice-based data and further subject-matter-expert input, were used to validate indicators and to create a new structure for the examination. RESULTS: The new examination is a combination of single-focus and case-based multiple-choice questions, and OSCE (objective, structured, clinical examination) methodology. Content mapping and item weighting were determined by a blueprinting committee and are provided. CONCLUSION: Administration of the new examination commenced in early 2024.

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)0.004
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 score0.959
Threshold uncertainty score0.988

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
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 head0.073
GPT teacher head0.388
Teacher spread0.315 · 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 designOther design
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

Citations1
Published2024
Admission routes2
Has abstractyes

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