Bibliographic record
Abstract
OBJECTIVE: To assess attitudes of children requiring hospital emergency room (ER) treatment for trauma injuries 5 years afterward to evaluate the long-term effect of treatment distress. For comparison, health care attitudes of a large random sample of children were assessed. METHOD: Children (N = 139, 7-19 years old) recruited from the ER completed a health care attitude questionnaire. Comparable schoolchildren (N = 1,300) completed the same questionnaire, with the addition of a few questions asking about hospital contact. The ER-recruited group was part of a 5-year follow-up study, and at the time of initial recruitment, their parents had rated their children's degree of distress at both the time of injury and of ER treatment on a 6-point scale. RESULTS: For the ER-recruited sample, the degree of distress during ER treatment did not seem to have longterm effects on children's attitudes. For the random sample, contact with the ER, especially for a trauma injury, was related to children liking the ER more. CONCLUSIONS: Although other research has shown that aversive medical experiences may negatively affect children's attitudes, these findings suggest that the nature of the medical contact is important in how children interpret medically induced pain, which is related to their attitudes.
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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 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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".