SMARTRISK's theory of change for prevention of injury among Canadian youth
Bibliographic record
Abstract
The model employed by SMARTRISK to develop the Theory of Change for Youth was adapted from one proposed by the Aspen Institute Roundtable on Social Change. It is recognised as a best practice in the art of theory construction. The process begins with identifying the end goal an organisation wishes to achieve, the ultimate intended outcome(s) of any strategies. Next, a process of backwards mapping is undertaken whereby any preconditions (intermediate and shorter term outcomes) to arrive at the final goal are noted. Throughout this process, each outcome is assessed to determine whether it will necessarily lead to the next outcome in the model, or whether a planned intervention by the organisation is necessary. In addition, any underlying assumptions about objectives or the links between them are made explicit. The authors will be presenting the Theory of Change for Prevention of Injury among Canadian Youth, and illustrating specific application of the Theory of Change with evaluated examples of SMARTRISK's injury prevention programming for youth.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".