Boo-boos as the building blocks of pain expression: An observational examination of parental responses to everyday pain in toddlers
Bibliographic record
Abstract
BACKGROUND: Everyday pain experiences (minor bumps/scrapes) are common in early childhood and create frequent opportunities for socialization of pain behaviors. Nevertheless, everyday pain during the formative toddler period has been largely overlooked. AIMS: The aim of the current study was to describe the frequency and nature of toddlers' everyday pain experiences, child and parent responses, and the relationship between child characteristics (age, sex, temperament) and responses. METHODS: Fifty-two children aged 12-32 months and their parents were observed at an indoor play facility. Using an observational checklist, trained observers recorded children's everyday pain incidents and associated child and parent responses. RESULTS: Overall, 101 pain incidents were observed, the majority of which evoked low levels of pain and distress, which resolved after 1 min. Pain incidents occurred at a rate of 1.02 incidents/child/hour, with 81% of children experiencing at least one incident, which is higher than previous research with preschoolers and daycare staff. Common parent responses included a range of verbal (reassurance) and nonverbal (staying closer, hugging/kissing child) behaviors. Boys were more likely to not exhibit any protective behaviors. Parents were more likely to pick up older toddlers. CONCLUSIONS: Future research should examine the link between self-reported and observed parent responses to child pain in everyday and clinical contexts.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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 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".