A SCOPING REVIEW OF TRAUMA-INFORMED EARLY LEARNING AND CHILD CARE IN CANADA: A CRITICAL ANALYSIS
Bibliographic record
Abstract
Among child care policymakers, government officials, and providers alike, there is growing interest in mitigating the impacts of adversity and trauma in children’s early years. While emerging literature examines the prevalence and impacts of traumatic events on the lives of children and families, a focus on trauma-informed approaches within the early learning and child care sector remains nascent. This scoping review examines the current state of knowledge in peer-reviewed and grey literature on trauma-informed approaches in the early learning and child care sector in Canada. Critical analysis of the findings highlights a concerning gap in the empirical evidence on trauma-informed approaches, obscure and individualistic understandings of trauma, and considerable variance in how trauma-informed approaches are implemented. We call for explicit shifts toward understanding trauma as inclusive of interpersonal and structural forms of trauma and violence and a broader scope of “trauma- and violence-informed child care” (TVICC).
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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 | 0.040 | 0.150 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.006 | 0.004 |
| Bibliometrics | 0.048 | 0.066 |
| Science and technology studies | 0.007 | 0.005 |
| Scholarly communication | 0.011 | 0.005 |
| Open science | 0.005 | 0.005 |
| Research integrity | 0.004 | 0.004 |
| 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".