History of the Sydney College of Chiropractic
Bibliographic record
Abstract
The formal teaching of spinal manipulation in Australia for chiropractors and osteopaths began in private, freestanding institutions, first in Victoria in the 1930s, New South Wales in 1959 and South Australia in 1963. These institutions followed the inherent procedures of contemporary professions such as medicine, law and education. Spinal manipulation education was therefore greatly influenced by the processes emanating from the United Kingdom. Dedicated individuals involved in natural health care fostered the education of manipulation in Australia in response to community need. As time passed, the education process became increasingly influenced by chiropractors from the United States and Canada. This paper traces the origin and development of the Sydney College of Chiropractic (SCC), which has made a major contribution to chiropractic and osteopathic education in Australia. Included in this study are elements of the Pax College of Osteopathy, Ballarat, Victoria and Caringbah, NSW; the Roberts Health Academy, Melbourne, which later became the Chiropractic and Osteopathic College of Australasia (COCA); the South Australian Institute of Chiropractic and Osteopathy, Adelaide; the Kjellberg Method, Queensland; and the recognition of Australian-trained chiropractors by legislative bodies. The developing educational process includes the accreditation program conducted by SCC for further education of the chiropractic profession in Australia and the eventual establishment, through amalgamation of the SCC with Macquarie University (MU), of the world's first chiropractic course in a public-funded university.
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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 | 0.003 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.004 | 0.002 |
| Science and technology studies | 0.006 | 0.006 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.004 | 0.009 |
| Insufficient payload (model declined to judge) | 0.056 | 0.028 |
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".