On the Intrinsic Value of Arabic in Israel—Challenging Kymlicka on Language Rights
Bibliographic record
Abstract
In the postcolonial era, we have witnessed waves of mass immigration. Consequently, many states are no longer associated with just one or two national languages. Newly formed immigrant minorities raise demands for language rights, alongside national minorities, which raise similar demands.Such a complex situation exists, for example, in Canada, where only French and English are declared official languages although there are other languages, such as Chinese, which are spoken by large communities of people. My paper addresses the general question of which linguistic minorities are most entitled to comprehensive language rights. Will Kymlicka distinguishes between national minorities, which he regards as deserving of comprehensive language rights, and immigrant minorities which are not. Many scholars challenge Kymlicka’s distinction. However, none of them have suggested alternative criteria for distinguishing minority languages that are entitled to protection from minority languages that are less entitled to protection. In my paper, I suggest such a criterion. My alternative criterion is based on the intrinsic interest people have in protecting their own language as the marker of their cultural identity, thus, comprehensive language rights are to be accorded to linguistic minorities that possess the strongest intrinsic interest in the protection of their language as their marker of cultural identity. I apply my criterion to the Israeli case, in which there are two dominant linguistic minorities: the Arab national minority and the Jewish Russian immigrant minority. Relying on general criticism of Kymlicka’s distinction, I argue that this distinction is not applicable to the Israeli linguistic case. Applying my alternative criterion to the Israeli case, I argue that Israeli Arabs have a stronger interest in Arabic than the Russian Jewish minority has in Russian because Arabic constitutes Israeli Arabs’ exclusive marker of identity.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.007 | 0.021 |
| Scholarly communication | 0.008 | 0.006 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.003 | 0.005 |
| 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".