Unsubstantiated claims in patient brochures from the largest state, provincial, and national chiropractic associations and research agencies
Bibliographic record
Abstract
OBJECTIVE: To determine the presence or absence of claims for the clinical art of chiropractic that are not currently justified by available scientific evidence or are intrinsically untestable. DESIGN: A survey of patient education and promotional material produced by national, state, and provincial societies and research agencies in Canada and the United States. METHOD: Patient brochures were solicited from the 3 largest provincial, 3 largest state, and the 3 largest national professional associations in the United States and Canada. Similar requests were made of 2 research agencies supported by the national associations. Brochures were reviewed for the presence or absence of unsubstantiated claims. RESULTS: Of the 11 organizations sampled, 9 distribute patient brochures. Of these 9 organizations, all distribute patient brochures that make claims for chiropractic services that have not been scientifically validated. CONCLUSION: The largest professional associations in the United States and Canada distribute patient brochures that make claims for the clinical art of chiropractic that are not currently justified by available scientific evidence or that are intrinsically untestable. These assertions are self-defeating because they reinforce an image of the chiropractic profession as functioning outside the boundaries of scientific behavior.
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 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 | 0.031 | 0.155 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 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".