Symbols and labels: Children's awareness of social categories in a divided society
Bibliographic record
Abstract
AIMS: How and when children develop an understanding of group boundaries have implications for conflict resolution. When social divisions are not perceptually distinct, symbols become particularly important. Framed by the Social Identity Development Theory, this study was designed to assess children's categorization of symbols with conflict-related group labels. METHOD: In Northern Ireland, 218 children (M = 8.14, SD = 1.83, range 5-11 years old) participated in a novel task designed for this study. The sample was evenly split by child gender and community background. RESULTS: Children sorted symbols above chance with both the hypothesized national (i.e., British/Irish) and ethno-political (i.e., Protestant/Catholic) labels, showing a stronger association for the former. Sorting was also stronger for ingroup symbols, compared to outgroup symbols, and increased with age. CONCLUSION: These findings reflect the potential role that a divided social world has on the development of children's understanding of conflict-related groups. The results also have implications for intergroup relations among children in divided societies.
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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 | 0.006 |
| 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 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".