Political psychology : cultural and crosscultural foundations
Bibliographic record
Abstract
List of Tables and Figures Preface PART I: FOUNDATIONS OF CROSSCULTURAL POLITICAL PSYCHOLOGY Cultural and Crosscultural Political Psychology: Revitalizing a Founding Tradition for a New Subfield S.A.Renshon & J.Duckitt The Elusive Concept of Culture and the Vivid Reality of Personality L.Pye The Relevance of Culture for the Study of Political Psychology M.H.Ross Taboo Trade Offs: Constitutive Prerequisites for Political and Social Life A.P.Fiske & P.E.Tetlock Substance and Method in Cultural and Crosscultural Political Psychology S.Renshon, J.Duckitt, M.H.Ross, O.Feldman, F.M.Moghaddam, G.DeVos, W.G.Stephen & K.Leung PART II: CULTURE, PSYCHOLOGY, AND POLITICAL CONFLICT Culture, Personality, and Prejudice J.Duckitt The Political Culture of State Authoritarianism J.Meloen Conflict and Injustice in Intercultural Relations: Insights from the Arab-Israeli and Sino-British Disputes K.Leung & W.G.Stephan Culture and Ethnic Conflict M.H.Ross PART III: THE POLITICAL PSYCHOLOGY CHANGE IN CULTURAL REGIONS The Political Unconscious: Stories and Politics in Two South American Cultures A.Johnson Cultural Nationalism and Beyond: Crosscultural Political Psychology in Japan O.Feldman Change, Continuity, and Culture: The Case of Power Relations in Iran and Japan F.M.Mogaddam & D.Crystal Value Adaptation to the Imposition and Collapse of Communist Regimes in East-Central Europe S.H.Schwartz, A.Bardi & G.Bianchi PART IV: POLITICAL PSYCHOLOGY AND THE DILEMMAS OF MULTICULTURALISM Social Authority and Minority Status: Problems of Internationalization and Alienation Among Japanese and Koreans in Diverse Cultural Settings G.DeVos Multicultural Policy and Social Psychology: The Canadian Experience J.W.Berry & R.Kalin American Identity and the Dilemmas of Cultural Diversity S.A.Renshon Index
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How this classification was reachedexpand
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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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 teacher head, 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".