Children’s Ethno-National Flag Categories in Three Divided Societies
Bibliographic record
Abstract
Abstract Flags are conceptual representations that can prime nationalism and allegiance to one’s group. Investigating children’s understanding of conflict-related ethno-national flags in divided societies sheds light on the development of national categories. We explored the development of children’s awareness of, and preferences for, ethno-national flags in Northern Ireland, Kosovo, and the Republic of North Macedonia. Children displayed early categorization of, and ingroup preferences for, ethno-national flags. By middle-childhood, children’s conflict-related social categories shaped systematic predictions about other’s group-based preferences for flags. Children of minority-status groups demonstrated more accurate flag categorization and were more likely to accurately infer others’ flag preferences. While most Balkan children preferred divided versus integrated ethno-national symbols, children in the Albanian majority group in Kosovo demonstrated preferences for the new supra-ethnic national flag. We discuss the implications of children’s ethno-national flag categories on developing conceptualizations of nationality and the potential for shared national symbols to promote peace.
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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 | 0.002 | 0.005 |
| 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 | 0.002 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".