“The Tree Is the Enemy Soldier”: A Sociolegal Making of War Landscapes in the Occupied West Bank
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.011 | 0.022 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".