Class Dismissed: A Critique of Weberian Perspective on Class and Ethnicity
Bibliographic record
Abstract
Given the relative paucity of Marxist analysis of ethnicity, non-Marxist social science has provided the dominant perspectives on the relations between class and ethnicity. An important concern of much of this research and writing has been to prove that ethnicity is predominant over class as the source both of social conflict and of social cohesion. In this paper current weberian perspectives on class and ethnicity, perspectives which, while paying some attention to social class, generally accord primacy to ethnicity in organizing social relations within and between ethnic groups, are critically examined. Evidence against such a view is presented, based on research conducted among Korean immigrants in Edmonton. Our research suggests that social class is a primary factor both in the formation and growth of the Korean community as well as in structuring social relations within the community.
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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 | 0.007 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.006 | 0.046 |
| Scholarly communication | 0.006 | 0.009 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.003 | 0.007 |
| Insufficient payload (model declined to judge) | 0.003 | 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".