My Symbols or Our Symbols? The Effect of Inclusive Narratives on the Acceptability of Out-Group Symbols
Bibliographic record
Abstract
ABSTRACT: There are intense debates worldwide about cultural representations, including statues, flags, symbols, street names and history textbooks. They highlight the need to understand the political implications of how cultural entities are framed. Previous researchers have found that it matters whether framing narratives are inclusive or exclusive. Here, we hypothesise that inclusive narratives around the political symbols of ostensible out-groups will increase positive attitudes towards the symbols and increase support for their official adoption. Using data from (pre-registered) experiments in Ireland, North and South, we found asymmetric effects. When inclusively framed, ‘British’ symbols are more positively viewed by Southerners from the Republic of Ireland and Catholics from Northern Ireland and attract greater support as official features of a potential united Ireland. But no similar effects are observed on the views of Protestants from Northern Ireland about ‘Irish’ symbols. Antagonistic historical narratives over political symbols certainly matter, but the mutability of attitudes may vary across groups.
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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 | 0.009 | 0.084 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.006 |
| Scholarly communication | 0.007 | 0.005 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.004 |
| Insufficient payload (model declined to judge) | 0.009 | 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".