Relationship Between Chiropractic Teaching Institutions and Practice Characteristics Among Canadian Doctors of Chiropractic: A Random Sample Survey
Bibliographic record
Abstract
OBJECTIVE: The objectives of this study were to determine if faction membership among Canadian doctors of chiropractic (DCs) is associated with differences in educational program characteristics among English-speaking Canadian and United States chiropractic colleges and to determine if those differences are expressed in terms of surveyed attitudes and behaviors regarding treatment efficacy, radiographic imaging, vaccinations, and interprofessional referrals. This study also aims to identify if educational programs may be a potential source of multiple professional identities. METHODS: A randomly selected sample of Canadian DCs, stratified across the English-speaking provinces, was surveyed by mail. Survey items included school of graduation, self-categorization by chiropractic subgroup, perceptions of condition-specific treatment efficacy, use of plain film radiographic imaging, vaccination attitudes/behaviors, and patient referral patterns. Self-categorization by chiropractic subgroup included: the unorthodox faction (associates the chiropractic subluxation as an encumbrance to the expression of health) and the orthodox perspective (associates with musculoskeletal joint dysfunction, public health, and lifestyle concerns). For data analysis, chiropractic schools were divided into 2 groups according to location: English-speaking Canada and the US. The US was further clustered into liberal ("interested in mixing elements of modern and alternative therapies into the practice of chiropractic") and conservative categories ("chiropractors who believe in continuing the traditions of chiropractic"). RESULTS: Of 740 deliverable questionnaires, 503 were returned for a response rate of 68%. χ(2) Testing revealed significant differences in self-categorized faction membership associated with the clustering of colleges based on ideological viewpoints (χ(2) = 27.06; P = .000). Descriptive results revealed a relationship between school of origin and perceived treatment efficacy, use of radiographic imaging, and vaccination attitudes. No significant differences were found relative to interprofessional referral patterns. CONCLUSION: Chiropractic program attended is a significant predictor of orthodox vs unorthodox faction membership and professional practice characteristics for Canadian DCs. This suggests that the current chiropractic education system may contribute to multiple professional identities.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.014 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
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 teacher head, 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".