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Record W2483243271 · doi:10.1186/s12998-016-0114-y

A commentary on the implications of medication prescription rights for the chiropractic profession

2016· article· en· W2483243271 on OpenAlexaff
Peter C. Emary, Martin Wangler, Stephen J Burnie, Katherine J. Hood, William Mark Erwin

Bibliographic record

VenueChiropractic & Manual Therapies · 2016
Typearticle
Languageen
FieldMedicine
TopicMusculoskeletal pain and rehabilitation
Canadian institutionsToronto Western HospitalCanada Research ChairsParks CanadaUniversity of TorontoKrembil FoundationCanadian Memorial Chiropractic College
Fundersnot available
KeywordsChiropracticMedical prescriptionMedicineScope (computer science)LegislationScope of practiceAlternative medicineHealth careSpinal manipulationFamily medicinePublic relationsNursingLawPolitical science

Abstract

fetched live from OpenAlex

There is a growing desire within the chiropractic profession to expand the scope of practice to include limited medication prescription rights for the treatment of spine-related and other musculoskeletal conditions. Such prescribing rights have been successfully incorporated into a number of chiropractic jurisdictions worldwide. If limited to a musculoskeletal scope, medication prescription rights have the potential to change the present role of chiropractors within the healthcare system by paving the way for practitioners to become comprehensive specialists in the conservative management of spine / musculoskeletal disorders. However, if the chiropractic profession wishes to lobby to expand the scope of practice to include limited prescriptive authority, several issues must first be addressed. These would include changes to chiropractic education and legislation, as well as consideration of how such privileges could impact the chiropractic profession on a more theoretical basis. In this commentary, we examine the arguments in favour of and against limited medication prescription rights for chiropractors and discuss the implications of such privileges for the profession.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.614
Threshold uncertainty score0.324

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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 head0.347
Teacher spread0.313 · 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

Citations15
Published2016
Admission routes1
Has abstractyes

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