Beyond the Abject: Caste and the Organization of Work in Pakistan's Waste Economy
Bibliographic record
Abstract
Abstract This article examines the historical processes by which low or non-caste groups have situated themselves in Pakistan's waste economy. Adopting caste as a category of governance, the colonial regime implemented policies and interventions that not only impacted these groups in the Punjab, but also cemented enduring connections between caste, waste work, and governance, which have subsequently shaped the trajectories of waste work in cities like Lahore. Moving beyond the framework of the “abject,” this article emphasizes caste as a historical category through which social stratification and exclusions have materialized across South Asia, and examines how low or non-caste groups have organized themselves in Pakistan's waste economy, which has resulted from rapid urbanization, bureaucratization and informalization, regional labor migration, consumptive economies, urban development, and sociopolitical relations. Rather than inhabiting the abjectness of capitalism, modernity, or caste hierarchy, this article argues that these groups have carved out a space for themselves and their wider social relations in cities like Lahore in Pakistan, where social inequalities and stratification are undeniable facets of urban life.
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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 | 0.001 |
| 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 | 0.004 | 0.002 |
| Open science | 0.000 | 0.004 |
| Research integrity | 0.000 | 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".