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Record W7128509461 · doi:10.64903/1480-6800.24.3.161

Re-visiting the ‘Green Line’ 2022: The Legacy of a Non-existing Border on Israeli Maps

2021· article· W7128509461 on OpenAlexaffvenue
Ghazi-Walid Falah

Bibliographic record

VenueArab world geographer · 2021
Typearticle
Language
FieldSocial Sciences
TopicAgricultural and Environmental Management
Canadian institutionsGeotab (Canada)
Fundersnot available
KeywordsPromulgationContext (archaeology)Boundary lineSovereigntyGovernment (linguistics)State (computer science)Boundary (topology)

Abstract

fetched live from OpenAlex

This paper seeks to place the Green Line boundary superimposed on the landscape of Palestine in 1949 as an Armistice Line within the context of a broader discussion, combining Israel’s alleged special needs for ‘security’ with that of its colonial activities manifested in land grab beyond its sovereign space, a national territory created in the wake of an-Nakba War of 1948. The Separation Wall (SW) erected by Israel to the east of the Green Line from 2002 on overlaps with the Green Line by only some 15%. The remaining length of 85% of the SW penetrates deep inside the West Bank up to a distance of 22 km. Arguably Israel’s aim for constructing this Wall, along with the promulgation of the restrictive gate-system regulations for local Palestinians and their movement, is meant to dispossess Palestinian landowners and increase its continuous state territory further to the east. The then US President’s Deal of the Century (DoC) proposal in January 2020 clashes with international law and relevant UN resolutions pertaining to the Palestinian-Israeli conflict. However, it was warmly welcomed by the right-wing government at the time.

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)0.003
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.014
Threshold uncertainty score0.039

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0090.010
Scholarly communication0.0120.009
Open science0.0010.007
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0120.001

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 head0.017
GPT teacher head0.271
Teacher spread0.254 · 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 designObservational
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

Citations0
Published2021
Admission routes2
Has abstractyes

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