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Record W2015960421 · doi:10.3167/isf.2008.230202

"Back to the Future": A Comparative Ethical Look at Israeli Arab Future Vision Documents

2008· article· en· W2015960421 on OpenAlexaboutno aff
Uriel Abulof

Bibliographic record

VenueIsraeli Studies Review · 2008
Typearticle
Languageen
FieldSocial Sciences
TopicJewish and Middle Eastern Studies
Canadian institutionsnot available
Fundersnot available
KeywordsManifestoPolityPoliticsNationalismEthnic nationalismPatriotismSociologyRenunciationLawPolitical scienceGender studiesPhilosophy

Abstract

fetched live from OpenAlex

Israeli Arabs' "future vision" documents are an ethical-political manifesto, contextualized in academic discourse and informed by socio-historical parallels. Hence, this article examines their political ethics in a comparative perspective, by referencing the case of Israeli Arabs along with two other distinct intra-state conflicts: the strife between Anglophones and Francophones in Canada and the struggle between Macedonians and Albanians in Macedonia. These cases illuminate two main ethical-political alternatives to the present pattern of relations between Jews and Arabs in Israel. Although the Canadian case indicates a renunciation of ethno-nationalism in favor of civic and linguistic patriotism, the Macedonian case presents an attempt to reconcile ethno-national affiliation with democratic principles. Projecting the ethical discussion of the Canadian and Macedonian cases onto Israel, I contend that normative acceptance of the mutual and dual right of self-determination, regarding both the individual's collective identity and the collective's polity, is a precondition for reconciliation between Jews and Arabs.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.006
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.025
Threshold uncertainty score0.064

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0080.016
Scholarly communication0.0080.003
Open science0.0010.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0030.000

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.

Opus teacher head0.125
GPT teacher head0.425
Teacher spread0.300 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

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".

Quick stats

Citations19
Published2008
Admission routes1
Has abstractyes

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