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“The Tree Is the Enemy Soldier”: A Sociolegal Making of War Landscapes in the Occupied West Bank

2008· article· en· W1996489880 on OpenAlexaff
Irus Braverman

Bibliographic record

VenueLaw & Society Review · 2008
Typearticle
Languageen
FieldSocial Sciences
TopicJewish and Middle Eastern Studies
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsAlibiColonialismPoliticsAdversaryLawSociologyPolitical scienceHistoryPolitical economy

Abstract

fetched live from OpenAlex

War landscapes have a particular sociology; they are also formed through distinct legal technologies. By examining the genealogy of trees as totemic displacements in the occupied West Bank I demonstrate how the Israeli/Palestinian war is deflected onto the landscape and how this deflection erodes the boundary between law and war. Dealing with issues of colonization, nationalization, and the way that these implicate landscape as a “natural alibi,” the article examines the intricate making of politics into nature. Further, it explores the ironic nesting of colonial processes from Ottoman, to British, to Zionist, and finally to the new Jewish settler society that seeks to unsettle the old colonial landscapes of this place. Utilizing a detailed interpretation of a range of interviews and participatory observations, the article unpacks the mutually constitutive relationship between law, technologies of seeing, and landscape, illustrating how this relationship is played out by various actors in the occupied West Bank.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.729
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
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 head0.048
GPT teacher head0.317
Teacher spread0.269 · 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 teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreReview

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

Citations5
Published2008
Admission routes1
Has abstractyes

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