Bibliographic record
Abstract
This article is part of a larger inquiry into the production of disabled bodies due to violence. I examine processes of disablement in the global south, namely Iran and Iraqi Kurdistan, by wars launched and nurtured by both the local nation-states in the Middle East as well as the global north - the United States, Russia, and Western Europe. Utilizing a dialectical and historical materialist approach, I studied the Iran-Iraq war, the longest war of the 20th century. I explore how the disablement of global southern bodies in imperialist and nationalist wars is persistently naturalized – that is, attributed to the natural state of affairs in those regions, with the inevitable consequence that they cannot be connected to the violence of ongoing global and regional imperialism. This paper briefly touches upon the theoretical framework and methodology utilized to conduct this research, as well as the “problem” of disability in Iran. Subsequently, it goes on to extensively discuss the living conditions of the surviving Iranian veterans and surviving civilians of the Iran-Iraq war told through their own resilient voices. The veterans’ narratives expose their post-war experiences, including poverty, unemployment, inadequate medical-care, lack of medication due to the U.S.-imposed economic sanctions, and the presence of a dysfunctional disability-measurement system employed by the Iranian state. As a survivor of this war myself, I invite the reader to bear witness to how the violence of imperialism and nationalism not only renders people disabled, but also fetishizes their disablement by masking/mystifying the socio-political and economic relations that mediate the violent processes that render people disabled. By focusing on the veterans’ actual living conditions, this paper seeks to defetishize disablement, shifting the narrative of disabled veterans and civilians from tales of terrorism, heroism, living martyrdom, and patriotism, towards recognition of disability of/in human beings in need of care and support.
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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 | 0.006 | 0.015 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.007 | 0.011 |
| Scholarly communication | 0.011 | 0.011 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.036 | 0.004 |
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".