Bibliographic record
Abstract
Introduction The Prevent Alcohol and Risk Related Trauma in Youth (P.A.R.T.Y) program is a 1-day injury awareness and prevention program for youth ages 15 and older, developed in 1986 at Sunnybrook Health Sciences Centre in Toronto, Canada. Methods Students follow the course of injury from occurrence, through transport, treatment, rehabilitation and community re-integration phases. They interact with a team of health professionals that includes a paramedic, a police officer, nurses, a physician and social workers. They are given information about: basic anatomy, physiology and the mechanics of injury; the effect of alcohol/drugs on decision making, judgement, concentration and co-ordination; the nature of injuries that can be repaired, and those that cannot; the effect of injury on families, finances and future plans. The team includes persons who have been injured, some still in acute care, others in rehabilitation and some who have returned home. They provide a personal perspective on the challenge of dealing with injury and putting ones life back on track. The program concludes with a challenge to the participants to become individually and collectively committed to promoting behaviours and activities that minimise the risk of injury. Results Since 1986 the P.A.R.T.Y. Program has expanded to well over 100 sites and six countries with more to come. Conclusions This program is a vital component of the growing community effort to reduce death and injury in alcohol and risk-related crashes and other incidents.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.012 | 0.001 |
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".