Re-examining Willingness to Fight for One’s Country: Exploring Nature of Conflict and Citizenship Status Effects in the United States and Canada
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Individuals’ willingness to fight for their country has garnered significant attention in research; yet, the intricate connection between such willingness with individual identity, conflict type, and personal values remains underexplored. Through deductive exploratory quantitative analysis, this study examines two potentially interrelated factors—social identity and nature of conflict concerns—in the context of two multi-ethnic, immigrant-rich Western democracies in the 21st century. Using cross-sectional national survey data and a social identity framework, a quantitative comparative analysis of the North American Aerospace Defense Command (NORAD) member nations Canada and the United States reveals a relationship between conflict concerns, immigrant identity, and willingness to fight; generally speaking, immigrants are more willing to fight for their host nations than the native-born individuals.
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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 | 0.000 | 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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 it