Strategies of Minority Struggle for Equality in Ethnic States: Arab Politics in Israel
Bibliographic record
Abstract
This paper challenges existing theories of radicalization and secession that are presented as “natural” tendencies of minority nationalism. It demonstrates the affinity between the strategies of national minorities and those of social movements, claiming that excluded minorities seek to reframe and expand the meaning of their citizenship, as do social movements, by utilizing the structures of opportunities available to them through citizenship and by mobilizing whatever resources possible to improve their status. Minorities utilize the opportunities embedded in their citizenship, despite its shortcomings, before ever moving to alternative strategies that may jeopardize the valued incentives that were achieved so far as citizens. The paper demonstrates its theoretical hypothesis by examining the changes taking place in the strategy adopted by the Arab minority in Israel. This minority has chosen to abandon accommodative politics and is adopting a more active and challenging strategy vis-à-vis the state. In contrast with common claims that conceive Arab politics as a tendency towards strategies of radicalization and confrontation with the state, this paper demonstrates that recent changes in Arab politics seek to expand the meaning of citizenship beyond liberal limits and adapt it to new conditions in order to meet the minority's expectations of full and equal citizenship.
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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 | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.014 | 0.010 |
| Scholarly communication | 0.009 | 0.003 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".