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Record W7128475202 · doi:10.64903/1480-6800.23.4.229

The Palestinian-Israeli Conflict Seen Through the Prism of the Olive and Pine Tree

2020· article· W7128475202 on OpenAlexvenueno aff
Ainara Huarte Aranda

Bibliographic record

VenueArab world geographer · 2020
Typearticle
Language
FieldSocial Sciences
TopicJewish and Middle Eastern Studies
Canadian institutionsnot available
Fundersnot available
KeywordsTree (set theory)Arboreal locomotionMetaphorMediterranean climateThe SymbolicCaveTree plantingDialectic

Abstract

fetched live from OpenAlex

This paper will show how the Israeli-Palestinian struggle over land, both on the physical and discoursive realm, can be approached and seen through trees, namely olive and pine trees as a botanical lens. The olive tree, which is the autochtonous feature of the Mediterranean landscape, represents Palestinian Resistance and attachment to the land over generations, while the imported pine tree forests serve as a fitting arboreal metaphor for Israel’s Zionist project, as the land has been afforested at an unprecedented pace over the last century. The symbolic role of these two iconic trees is enhanced and (re)created in national discourses and popular culture, a dialectic arboreal metaphor that the article utilizes as a prism. Both the olive and the pine tree give material form to concepts of rootedness, mark ownership over a contested land, and are bearers of national memories and identities. Therefore, they act as mechanisms of national assertion, operating as national symbols. Yet, or perhaps because of that, their role transcends the symbolic dimension. Both the olive and the pine tree are in fact weaponized, used as tools of warfare in the daily and abiding Israeli-Palestinian conflict.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.709
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0030.005
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.033
GPT teacher head0.270
Teacher spread0.236 · 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; both teacher heads agree on what is shown here.

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

Citations1
Published2020
Admission routes1
Has abstractyes

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