Political institutions and multiple social identities
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
Communal conflicts threaten political stability throughout the world. While conflicts such as those between Hutu and Tutsi or between Bosnian Serbs, Croats, and Muslims degenerated to genocide, others such as those between the Anglophone and Francophone Canadians or between Walloons and Flemings in Belgium have remained remarkably peaceful despite chronic tension. This difference in the level of hostility across cases of identity-based conflict presents a rich field of investigation for political psychology. In addition, increased mobility and intergroup marriage has generated further political challenges to the notion of self-determination. It is increasingly difficult to categorize people and to adapt politically to changing demands, as indicated by debate in several countries over identity categories in censuses. People are increasingly conscious of the fact that they belong to multiple politically salient groups that sometimes have conflicting goals. In light of these difficulties, I present a theoretic basis for studying this interaction. Political studies of communal conflict and psychological research on identity operate at different levels of analysis, but can be combined to produce an explanation of the dynamic nature of identity politics. After a brief review of research in these areas, I present a model to adapt psychological theories of multiple identification to the complex realm of political debate and legitimation. Although there is not space here for a full application of the combination, I use examples from Belgium and Canada to illustrate this perspective. This political psychological perspective can greatly contribute to our understanding of the dynamics of identity-based conflict and efforts to intervene in such conflicts.
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 | 0.000 | 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 | 0.001 | 0.004 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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