Maltreatment history, trauma symptoms and research reactivity among adolescents in child protection services
Bibliographic record
Abstract
OBJECTIVE: There is a well-documented link between child maltreatment and poor health across the lifespan. This provides a strong case for ongoing research with youth involved in the child welfare system to reduce negative outcomes and support resilience while being inclusive of youth voices. However, detailed inquiries about maltreatment history and health consequences may cause re-experiencing of events and psychological distress for study participants. Data that accounts for different contexts, such as severity of maltreatment history and current trauma symptomatology, have been limited in considering the question of potential harms to youth who participate in research-especially longitudinal studies. METHODS: This study compared self-reported impact of research participation against maltreatment history and current post-traumatic stress symptomatology among a randomly selected group of adolescents (< 18 years old) in the child protection service (CPS) system. RESULTS: Adolescents who report more serious child maltreatment and current trauma symptom severity reported higher scores on distress questions from pre- to post-assessment participation. Critically, participants who were more negatively impacted by study involvement also reported greater benefit from study involvement. CONCLUSION: The increase in both negative and positive impact does not shift the risk/reward ratio for participation, as risks alone do not increase for this vulnerable group of CPS involved youth. These results are consistent with previous findings from studies involving non-CPS populations and underlies the importance of empirical data to address the question of change in the risk/reward ratio and what factors might play a role in any change. This information can inform inclusion/exclusion criteria for future research with these vulnerable populations, thereby reducing the risk of distress among study participants.
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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 | 0.005 |
| 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 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".