Chiropractic Care and Public Health: Answering Difficult Questions About Safety, Care Through the Lifespan, and Community Action
Bibliographic record
Abstract
The purpose of this collaborative summary is to document current chiropractic involvement in the public health movement, reflect on social ecological levels of influence as a profession, and summarize the relationship of chiropractic to the current public health topics of: safety, health issues through the lifespan, and effective participation in community health issues. The questions that are addressed include: Is spinal manipulative therapy for neck and low-back pain a public health problem? What is the role of chiropractic care in prevention or reduction of musculoskeletal injuries in children? What ways can doctors of chiropractic stay updated on evidence-based information about vaccines and immunization throughout the lifespan? Can smoking cessation be a prevention strategy for back pain? Does chiropractic have relevance within the VA Health Care System for chronic pain and comorbid disorders? How can chiropractic use cognitive behavioral therapy to address chronic low back pain as a public health problem? What opportunities exist for doctors of chiropractic to more effectively serve the aging population? What is the role of ethics and the contribution of the chiropractic profession to public health? What public health roles can chiropractic interns perform for underserved communities in a collaborative environment? Can the chiropractic profession contribute to community health? What opportunities do doctors of chiropractic have to be involved in health care reform in the areas of prevention and public health? What role do citizen-doctors of chiropractic have in organizing community action on health-related matters? How can our future chiropractic graduates become socially responsible agents of change?
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 | 0.045 | 0.072 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.005 | 0.005 |
| Science and technology studies | 0.012 | 0.021 |
| Scholarly communication | 0.029 | 0.041 |
| Open science | 0.003 | 0.019 |
| Research integrity | 0.022 | 0.018 |
| Insufficient payload (model declined to judge) | 0.012 | 0.002 |
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".