Alterity, Security and Everyday Geopolitics at Israel's Border with Lebanon
Bibliographic record
Abstract
This article reassesses themes in the present literature on borders in political geography by using the case study of Israel's border with Lebanon. This securitized landscape invites a definition of the border predicated on a neat dichotomy between one's own identity and a foreign and dangerous “Other.” However even this border is a complex and contradictory boundary, in which residents’ attitudes, beliefs and practices are ambivalent and defy neat categorization. This study provides a more nuanced account of geographical imagination at this border by treating the borderland as a heterotopic space, rather than perceiving the border as a fixed line, and by examining the everyday “micro-political” operations and materialities that inhabitants of the border region perform and experience. While there is clearly a relationship between security and identity at this border, the outcome of this research indicates that this relationship is non-linear and more complex than can be allowed for by a hostile cultural imagination solely based on a self/Other dyad.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".