‘Conflict cinema’ and hostile space in Northern Ireland and Palestine
Bibliographic record
Abstract
This article is concerned with narratives of ethno-religious conflict depicted in a genre I term ‘conflict cinema’. The two films under discussion, ’71 and Paradise Now , are largely set, respectively, in the cities of Belfast in Northern Ireland and Nablus in Palestine and represent the divisions and violent tension between enemy factions there. The intersection of the landscape of the conflicts and the bodies of the male protagonists who must negotiate them emphasizes the centrality of physically being ‘in place’ or ’out of place’ to ‘conflict cinema’. The soldier/colonizer Gary Hook in ’71 and the freedom fighters/terrorists Said and Khaled in Paradise Now travel through the enduring battlegrounds of their divided and politically unstable societies. Against the backdrop of ethno-religious conflict, both films focus on the ideal militant body that must be a machine or an automaton. I argue that through the screenwriters’ and filmmakers’ depiction of these bodies’ negotiations of conflict space, or in other words, the interface between the body and the unstable, urban conflict zone, ‘conflict cinema’ upsets overdetermined notions of the male militant body, thus manifesting the paradox of the dehumanised body that is also innately human.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.012 | 0.016 |
| Scholarly communication | 0.010 | 0.004 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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.
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".