A survey of Fellows in the College of Chiropractic Sports Sciences (Canada): their intervention practices and intended therapeutic outcomes when treating athletes.
Bibliographic record
Abstract
OBJECTIVE: To compile baseline data regarding the treatment practices and therapeutic outcomes that fellows of the College of Chiropractic Sports Sciences Canada (CCSS(C)) strive for when treating athletes. DESIGN: Cross-sectional self-report mail out survey of CCSS(C) fellows. PARTICIPANTS: Current registered fellows of the CCSS(C) as determined by the College at the time of survey distribution. RESULTS: The majority of questioned fellows believe that they can cause direct and specific improvements in an athlete's sport performance. The most commonly utilized therapeutic intervention was spinal joint manipulation/mobilization. The most anticipated outcomes following the treatment of athletes with the goal of affecting athletic performance were "changing or improving aberrant body mechanics," "restoring or improving aberrant muscle function," and "improving joint function or reducing joint dysfunction." CONCLUSION: The majority of respondent fellows of the CCSS(C) believe their therapy to be effective in enhancing an athlete's sport performance.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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".