The Chiropractic Vertebral Subluxation Part 7: Technics and Models From 1962 to 1980
Bibliographic record
Abstract
The purpose of this paper is to review and discuss the history of chiropractic vertebral subluxation (CVS) theories and models between 1962 and 1980. This period was marked by several innovative texts from Weiant, Homewood, and Harper, and Canadian Memorial Chiropractic College’s Segmental Neuropathy. Technique developers during this period increased the complexity of models from upper cervical to full spine. The textbooks built upon previous theories, the scientific literature, work by Speransky, and instrumentation research. The texts influenced decades of research and theory. Weiant’s book surveyed the medical and scientific literature on CVS. Harper integrated modern neurophysiology with D. D. Palmer’s theories integrated with other chiropractic models based on research such as Weiant’s photoelectric instrumentation. Homewood’s book integrated Selye, Speransky, Verner, and several other models, which led to his neurodynamic model of CVS. Segmental Neuropathy was a completely new innovation of chiropractic theory with neurophysiology. Collaboration among authors developed into several new models. Chiropractic vertebral subluxation was viewed as a global neurological phenomenon and a neurodystrophic process. Technique models from Goodheart, Nimmo, Toftness, Ward, Gonstead, Grostic, Gregory, and Pierce laid the foundation for modern practices. The CVS theories during this period were complex and almost unrecognizable from previous theories. The inclusion of every major theory laid the foundation for this period’s wide set of models, research, and methods.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.005 |
| Science and technology studies | 0.001 | 0.008 |
| Scholarly communication | 0.003 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.006 | 0.003 |
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".