Constructing Lyari: place, governance and identity in a Karachi neighbourhood
Bibliographic record
Abstract
This article explores a range of discourses and practices that dominate the everyday lives of a range of social actors involved in the administration and organization of Lyari Town, one of the oldest settlements of Karachi. Underwritten by a narrative of historic marginalization as well as resistance, these discourses are linked to emerging socio-spatial practices in this area that are highly prescriptive. These practices have created a landscape of public and community spaces: sports clubs, parks, schools and community service centres which have materialized as a result of a combination of agitatory as well as patronage politics and even support from the criminal underground. There is a particular emphasis on sports, namely soccer and boxing, as not only productive activities for the youth but also as a strong marker of Baloch political identity, the Baloch being the dominant ethnic group in Lyari. I argue that by deploying a productive discourse around place, ethnicity and political marginalization, these assemblages of different kinds of powers have created their own mode of governance which is emerging in a context where the state’s role in the provision of municipal services and city-making remains contested and ambiguous, and the rule of law is seen to be weak or absent.
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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 | 0.002 |
| Science and technology studies | 0.012 | 0.010 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.009 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".