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Record W3089303589 · doi:10.1515/til-2020-0015

Territorial Justice in Israel/Palestine

2020· article· en· W3089303589 on OpenAlexaff
Margaret Moore

Bibliographic record

VenueTheoretical Inquiries in Law · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicJewish and Middle Eastern Studies
Canadian institutionsQueen's University
Fundersnot available
KeywordsArgument (complex analysis)Economic JusticePalestineCompromisePoliticsState (computer science)Law and economicsLawSociologyPolitical sciencePositive economicsEconomicsHistoryMathematics

Abstract

fetched live from OpenAlex

Abstract This Article examines the two dominant theories of territorial justice — one associated with justice, the other with self–determination. It applies these theories to the case of Israel/Palestine, and to ongoing claims by political actors with respect to territorial rights there. It argues that justice theory seems to straightforwardly suppose the territorial rights of the State of Israel, at least if historical and retrospective considerations are not at the forefront, though once they are brought in, this argument can be deployed in support of a number of different political positions. The self–determination argument, it is argued, is somewhat less indeterminate and seems to most straightforwardly support a “two–state” compromise. However, as with justice theory, its assumptions can be challenged on a number of fronts, and could also be deployed to buttress other arguments. The merits and challenges of both theories are analyzed through this case study.

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)0.002
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.017
Threshold uncertainty score0.035

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0090.018
Scholarly communication0.0040.001
Open science0.0010.004
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.047
GPT teacher head0.334
Teacher spread0.287 · 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 designTheoretical or conceptual
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

Citations4
Published2020
Admission routes1
Has abstractyes

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