Bibliographic record
Abstract
The CCA Career Research Award is presented to five individuals who have made a tremendous contribution to the chiropractic research community in Canada which has flourished over the past 30 years as a direct result of their insight and vision in 1975. The original Founders of the Chiropractic Foundation for Spinal Research (CFSR) in 1975, now the Canadian Chiropractic Research Foundation (CCRF), were all from Winnipeg, Manitoba and are: Dr. Ronald Henderson Collett DC Dr, Terry Alan Watkins DC Dr. Edward Allan Hawkins DC Dr. John Kenneth Bloomer DC Dr. Walter Joseph Savickey DC The chiropractic research community in Canada would not be where it is today without their insight and vision in the mid 70’s. Collectively, these doctors inspired and advanced our profession in its relationship with patients, the public, and with government and provided outstanding service to the chiropractic profession and to the research community. Each has distinguished themselves and set a direction which today has grown to include university-based Chiropractic Research Chairs, and chiropractors who have undertaken research as a career and obtained their PhD’s. In addition, the profession has a Research Consortium composed of a dozen chiropractic researchers across Canada and a Research Symposium every 2 to 3 years that attracts hundreds of attendees. All five individuals exemplify the best of our profession and the high standards of service expected from the research community at large and are clearly deserving of the recognition afforded by the CCA Career Research Award. Dr. Ronald Henderson Collett DC, Winnipeg, Manitoba Dr. Terry Alan Watkins DC, Yarmouth, Nova Scotia Dr. Edward Alan Hawkins DC, Minnedosa, Manitoba Dr. John Kenneth (Steve) Bloomer, St. Anne, Manitoba Dr. Walter Joseph Savickey DC, Winnipeg, Manitoba
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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 | 0.009 | 0.029 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.005 | 0.004 |
| Science and technology studies | 0.008 | 0.002 |
| Scholarly communication | 0.015 | 0.004 |
| Open science | 0.004 | 0.010 |
| Research integrity | 0.007 | 0.008 |
| Insufficient payload (model declined to judge) | 0.411 | 0.299 |
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".