Bibliographic record
Abstract
BACKGROUND: Central to the involvement of children in health research is the notion of risk. In this paper we present one of the factors, a matter of trust, that shaped Canadian parents' and children's perceptions and assessments of risk in child health research. PARTICIPANTS AND METHODS: Part of a larger qualitative research study, 82 parents took part an in-depth qualitative interview, with 51 parents having children who had participated in health research and 31 having children with no research history. 51 children ranging from 6 to 19 years of age were also interviewed, with 28 having a history of participation in child health research and 23 having no history. Children also took part in 3 focus groups interviews. Themes emerged through a grounded theory analysis of coded interview transcripts. FINDINGS: The presence or absence of trust was not only perceived by parents and children as a contributing factor to involving children in health research, but also shaped their perceptions and assessments of risk. Three interrelated subthemes identified were: (1) relationships of trust; (2) placing trust in symbols of authority; and (3) the continuum of trust. CONCLUSIONS: Our study reinforces that trust is an important factor when parents assess risk in child health research and shows that children use the language of trust in relation to risk. More discussion regarding trust in training researchers is warranted given the trust in researchers and institutions evident in this study. We also recommend further study of the continuum of trust in child health research.
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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 | 0.061 | 0.097 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.013 | 0.048 |
| Scholarly communication | 0.011 | 0.007 |
| Open science | 0.001 | 0.011 |
| Research integrity | 0.002 | 0.007 |
| 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".