Shared Membership Beyond National Identity: Deservingness and Solidarity in Diverse Societies
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
Liberal nationalists argue that identification with the nation promotes feelings of mutual obligation, including support for redistribution. Existing attempts to test this hypothesis have focused on whether the higher sense of national identity among the majority increases support redistribution. We argue for a twofold shift in focus. First, beyond the majority’s own national identity, we need to explore their perceptions of whether minorities share this identity. Second, we need to shift from one-dimensional ideals of ‘identity’ to more complex ideas of attachment and commitment. Do members of the majority view minorities as committed to the nation and willing to make sacrifices for it? Drawing on a custom-designed online survey in Canada, we show that three salient out-groups (Aboriginal peoples, French-speaking Canadians and immigrants) are seen by majority respondents as less committed to Canada, and that this is a powerful predictor of support for general and inclusive redistribution.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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