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Record W4285676271 · doi:10.1016/j.echu.2022.05.001

The Councils on Chiropractic Education International Mapping Project: Comparison of Member Organizations’ Educational Standards to the Councils on Chiropractic Education International Framework Document

2022· article· en· W4285676271 on OpenAlexaffabout
Cynthia Peterson, Kristi Randhawa, Lynn Shaw, Michael Shobbrook, Jean Moss, Lenore V. Edmunds, Drew Potter, Stefen Pallister, Mark Webster

Bibliographic record

VenueJournal of Chiropractic Humanities · 2022
Typearticle
Languageen
FieldPsychology
TopicFamily and Disability Support Research
Canadian institutionsCanadian Memorial Chiropractic CollegeCanadian Chiropractic Association
Fundersnot available
KeywordsChiropracticMedicinePolitical scienceAlternative medicineMedical educationPublic administrationPathology

Abstract

fetched live from OpenAlex

Objective: The purpose of this project was to investigate how well each member agency's standards complied with the Councils on Chiropractic Education International (CCEI) framework standards. Methods: Each of the CCEI member agencies were provided with a mapping template that was approved by all representatives. A representative from each agency independently mapped their agency's standards to the CCEI framework standards using the template document. Discrepancies were explored and discussed among members. Member agencies discussed with their constituents the omissions and areas that did not comply or adequately match the CCEI document. Changes or additions to member agency standards were made, and updated versions of the mapping were agreed by all CCEI representatives. Results: There were 12 sections containing 30 standards within the CCEI framework standards. The Council of Chiropractic Education Australasia and Council on Chiropractic Education Canada reported relevant standards for all 30 CCEI standards. The European Council on Chiropractic Education had 29 of 30 relevant standards, with no direct standard for service. The products that were created were an executive summary of our findings and a detailed map showing similarities for each of the member agencies. Conclusion: This mapping project demonstrated the similarities of the CCEI member agency standards and that these standards focused on outcomes-based chiropractic education. This quality improvement project resulted in useful dialogue among the member agencies during this project, which clarified areas of difference.

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)0.005
metaresearch head score (Gemma)0.008
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.233
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0110.000

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 head0.106
GPT teacher head0.445
Teacher spread0.338 · 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 designNot applicable
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

Citations2
Published2022
Admission routes2
Has abstractyes

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