Attitudes of clinicians at the Canadian Memorial Chiropractic College towards the chiropractic management of non-musculoskeletal conditions.
Bibliographic record
Abstract
OBJECTIVE: The objective of this study was to determine the attitudes of clinical faculty during the 2009-2010 academic year at the Canadian Memorial Chiropractic College towards the treatment of various non-musculoskeletal disorders. METHODS: A confidential survey was distributed to the clinical faculty via email. It consisted of several questions polling the demographic of the respondent such as years in clinical practice, and a list of 29 non-musculoskeletal conditions. Clinicians were asked to indicate their opinions on each condition on rating scale ranging from strongly agree to strongly disagree. RESULTS: Twenty of 22 clinicians responded. The conditions garnering the greatest positive ratings include: asthma, constipation, chronic pelvic pain, dysmenorrhea, infantile colic, and vertigo. The options regarding vertigo and asthma, while demonstrating an overall positive attitude towards the benefits of chiropractic care, were stratified amongst clinicians with varying years in clinical practice. CONCLUSION: This study suggests clinicians at this college are moderately open towards the chiropractic treatment of some non-musculoskeletal disorders.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".