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Record W2519110715 · doi:10.1016/j.echu.2016.07.002

Spinal Health: The Backbone of Chiropractic’s Identity

2016· article· en· W2519110715 on OpenAlexaff
Richard A. Brown

Bibliographic record

VenueJournal of Chiropractic Humanities · 2016
Typearticle
Languageen
FieldMedicine
TopicMusculoskeletal pain and rehabilitation
Canadian institutionsCanadian Chiropractic Association
Fundersnot available
KeywordsChiropracticIdentity (music)MedicineHealth careAlternative medicinePublic relationsSpinal manipulationCustodiansProfessional associationEngineering ethicsPolitical scienceLawAestheticsEngineeringPathologyHistory

Abstract

fetched live from OpenAlex

OBJECTIVES: The purpose of this commentary is to explore the concepts underpinning professional identity, assess their relevance to chiropractic, and propose a model by which a strong identity for the chiropractic profession may be achieved. DISCUSSION: The professional identity of chiropractic has been a constant source of controversy throughout its history. Attempts to establish a professional identity have been met with resistance from internal factions divided over linguistics, philosophy, technique, and chiropractic's place in the health care framework. Consequently, the establishment of a clear identity has been challenging, and the chiropractic profession has failed to capitalize on its potential as the profession of spine care experts. Recent identity consultations have produced similar statements that position chiropractors as spinal health and well-being experts. Adoption of this identity, however, has not been universal, perpetuating the uncertainty with which the public regards the chiropractic profession. CONCLUSION: To gain public and professional acceptance, chiropractic must be unequivocal in declaring its scope, expertise, and intent. Failure to do so will lead to obscurity as other professions acquire necessary skills and position themselves as the custodians of spine care.

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 score0.774
Threshold uncertainty score0.682

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 communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.059
GPT teacher head0.356
Teacher spread0.297 · 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

Citations28
Published2016
Admission routes1
Has abstractyes

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