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Record W7000659542

Global chiropractic accreditation standards:Content assessment and a modified-Delphi and nominal consensus process

2025· article· en· W7000659542 on OpenAlexaffabout

Bibliographic record

VenueTeesside University Research Portal (Teesside University) · 2025
Typearticle
Languageen
FieldMedicine
TopicMusculoskeletal pain and rehabilitation
Canadian institutionsCanadian Memorial Chiropractic CollegeUniversité du Québec
Fundersnot available
KeywordsChiropracticAccreditationConsistency (knowledge bases)Competence (human resources)Equity (law)The InternetProgram evaluation
DOInot available

Abstract

fetched live from OpenAlex

Introduction &amp; Aim: Standards from the four international chiropractic program<br/>accrediting agencies have not been systematically studied and analyzed for content.<br/>An assessment of standards will offer valuable information to facilitate communication<br/>between stakeholders. This study categorized program standards and student<br/>competencies from the four chiropractic accreditation agencies worldwide, identifying<br/>similarities and differences.<br/>• Methods: A modified-Delphi study with 21 international chiropractic education expert<br/>panelists was performed from December 1, 2023, to April 18, 2024. Current versions<br/>of the accreditation standards from four international accreditation agencies were<br/>retrieved from publicly facing Internet pages. The agencies were the Council on<br/>Chiropractic Education (United States), European Council on Chiropractic Education<br/>(Europe, United Kingdom, South Africa), Council on Chiropractic Education<br/>Australasia (Australia, New Zealand), and the Council on Chiropractic Education<br/>Canada (Canada). Panelists participated in four consensus rounds of review and<br/>coded all items about program standards and student competencies across<br/>documents. The resulting codes were analyzed for frequency across the accrediting<br/>agencies.<br/>• Results: The final consensus round resulted in high agreement for coding (98%<br/>student competencies, 99% program standards). The student competencies resulted<br/>in 1082 codes, with an average of 4.36 codes per item. The program statements<br/>resulted in 248 codes, with an average of 1.82 codes per item. There were similarities<br/>across all accreditation agencies regarding emphasis and content.<br/>• Conclusion: The findings of this study show similarity and consistency across<br/>accreditation agencies. These findings help to clarify concepts within chiropractic<br/>accreditation and will facilitate dialog about global chiropractic education among

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.514
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
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 head0.058
GPT teacher head0.391
Teacher spread0.333 · 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.

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

Citations0
Published2025
Admission routes2
Has abstractyes

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