‘Would Others Think It Is Okay to Express My Feelings?’ Regulation of Anger, Sadness and Physical Pain in Gujarati Children in India
Bibliographic record
Abstract
Abstract Despite the recognition of cultural influences on emotional development, very little is known regarding emotion regulation in children from different cultures. This study examined beliefs regarding social acceptability and regulatory behaviors in 80 children (aged five to six years and eight to nine years) from two urban communities (suburban and old city) in Gujarat, India. The children's explicit reasons and their preferred methods of expression and control were also investigated. The results revealed that the children considered others to be less accepting of their expressions of anger and sadness and, in turn, they reported controlling their anger and sadness more than their physical pain. The remarkable congruence between children's beliefs regarding acceptability and reported behaviors was consistent with the notion that cognitions that focus on evaluations of others are particularly salient in guiding socioemotional behavior in a collectivist culture like India. Within‐culture differences were also imperative, indicating that the children in the old city considered others to be less accepting of all of their expressions, and reported controlling these expressions more than the children in the suburban community. These differences are discussed in the context of variations in broader cultural values (i.e., the extent of collectivist orientation and adherence to Hindu ideology) in the two communities.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".