Evaluation of ThinkFirst for Kids Injury Prevention Curriculum for Grades 7/8
Bibliographic record
Abstract
BACKGROUND: Head injury causes substantial morbidity and mortality in children. The ThinkFirst For Kids (TFFK) program improves knowledge of safe behaviours in kindergarten to Grade 6 students. METHODS: This study evaluated the TFFK curriculum for grade 7/8 students. Knowledge acquisition was assessed quantitatively by an injury prevention test at baseline, at curriculum completion, and six weeks later. Participant experiences and behaviours were explored qualitatively by interviews and focus groups. RESULTS: Students (n=204) and teachers (n=6) from four schools participated in this study. Test scores improved from baseline (26.48+/-0.17, n=204), to completion (27.75+/-0.16, n=176), to six weeks post-completion (28.65+/-0.13, n=111) (p<0.05). Most students reported their decision-making and participation in risky behaviors was altered by the curriculum. INTERPRETATION: The TFFK curriculum may promote education about head injury prevention among Grade 7/8 students, with a suggestion of long-term knowledge retention. The curriculum was well-received and may be suitable to reduce risky behavior and injuries in children.
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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 | 0.004 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".