Weeping without tears: Kurdish female kolbers and gendered necropolitics of state in Iran
Bibliographic record
Abstract
Abstract This article disentangles the nexus between coloniality, territoriality, and gendered necropolitics of state in Iran and how it shapes the lives of the Kurdish female cross‐border laborers (kolbers, in Kurdish) in Eastern Kurdistan (Rojhelat, in Kurdish). Drawing on Achille Mbembe's notion of “necropolitics,” we conceptualize kolberi as a work of death that subjects Kurds to indiscriminate and collective punishment through necro‐disciplinary measures, exposing them constantly to precarious conditions. The necropolitics of Kurdish female kolberi underlines how the meaning of death, like the meaning of life (in biopolitics), is produced and managed through elements of embodiment―bodies, of who kills, and of who is marked for death and for taking life. We interviewed 13 Kurdish women in Rojhelat who have been involved in kolberi over the last few years. By bringing the gendered dimension of kolberi to the forefront, our article theorizes the experiences of women kolbers as occurring in a “death world”―a world where female kolbers' lives are perpetually endangered by the state apparatus of death and silenced by the patriarchal regime of “truth.” Our analysis reveals a form of state violence that highlights the gendered expression of “colonized subjects.”
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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 | 0.001 | 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 | 0.008 | 0.013 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".