What's Mom and Dad Got to Do With It? Factors Related Between Mothers’, Fathers’, and Young Children’s Weight Bias
Bibliographic record
Abstract
Our aim was to examine the role of parents in the transmission of weight bias to young children. Specifically, we assessed mothers' and fathers' weight bias and beliefs about the controllability of weight, and fear of fat in relation to their children's weight bias. Eighty-three mothers, 57 fathers, and their children (4- to 7-year-olds) participated. We failed to find any significant associations between children's weight bias, maternal responses, and most paternal responses. Only fathers' dislike of adults with overweight had daughters with more positive views of overweight figures. These results suggest that parents do not appear to contribute to the weight bias of preschoolers and their influence may only emerge in middle childhood. The present study also suggests that more work on the psychometric properties of weight bias scales and tasks to measure weight bias in children is vital to accurately evaluate interventions to decrease weight bias.
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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 | 0.001 | 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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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".