Bibliographic record
Abstract
Abstract This article examines how rank-and-file police in contemporary India express work-related grievances regarding official neglect of their well-being, systemic exploitation by government authorities and other elites, and routinized threats of bodily harm and death. It analyzes these experiences as manifestations of a ‘politics of expendability’ through which police, conceived as security laborers, are ironically condemned to exclusion from a morally and materially ‘good life’, and only partially or superficially compensated for the often questionably licit kinds of work demanded of them. Conceiving this politics as both intersecting with and reflective of broader structures of systemic inequality and oppressive violence, I consider recent cases of constables publicly complaining about their working and living conditions through social media, quitting their jobs, and dying by suicide as signs of resignation-cum-protest. In so doing, I demonstrate how the social demands for police work as security labor are co-configured with a devaluation of police life that produces affects of despair and structures of disposability. Rethinking the globalized paradox of police demonization-cum-valorization, this study raises challenging questions about how police in India – as well as in other contexts, and especially in Global South postcolonies – may be conceived as expendable workers. It further considers how, moving forward, we must work to reimagine what policing as institutionalized security labor and police work are – and ought to be.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.013 | 0.032 |
| Scholarly communication | 0.010 | 0.002 |
| Open science | 0.001 | 0.012 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 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".