Interpersonal comparison among caregivers of children with asthma
Bibliographic record
Abstract
Objective: We examined the extent to which caregivers of children with asthma used interpersonal comparisons—a novel comparison process that parallels social comparison and temporal comparison—to form judgments about their child. Methods & Measures: Using semi-structured interviews adapted from the McGill Illness Narrative Interview, we examined the interpersonal comparisons that caregivers of a child with asthma (n = 41) made regarding their child. Results: Interpersonal comparisons influenced caregiver thoughts, feelings, and behavior. They helped caregivers distinguish asthma from other breathing problems, evaluate the severity of the asthma, and understand their child’s experience. However, they also created uncertainty by highlighting the complex, unpredictable nature of asthma. Interpersonal comparisons were a source of gratitude and hope, but also worry and frustration. Finally, interpersonal comparisons influenced caregivers’ decisions and actions, resulting in decisions that aligned with and, at times, ran counter to biomedical models of asthma care. In some instances, caregivers used interpersonal comparisons to motivate their child’s behavior. Conclusion: The interpersonal comparisons served as a source of information for caregivers trying to understand and manage their child’s asthma. Investigating these comparisons also expands how we think about other comparison theories.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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 teacher head, 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".