Policymaking and Expertise in Telangana State : Mediating Knowledge and Interests in Pursuit of Economic Development and Social Justice in Hyderabad
Bibliographic record
Abstract
<p xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" class="first" dir="auto" id="d7458230e138">This chapter examines the role of expertise and knowledge in policymaking and delivery in the recently formed state of Telangana in South India. In the context of rescaled state space and political authority, the problem is framed as one of mediation between different types of knowledge and interests in pursuit of a political settlement. This question was explored through a comparative analysis of two distinct policy arenas, welfare housing and urban development, with a focus on the capital city Hyderabad. Both arenas relied to a degree on expertise external to government, but this was much more explicit in the case of urban development policies, where expert bodies remained nonetheless subordinate to political imperatives and authority. For welfare housing, policy design and implementation were left entirely with the government, but the evidence suggested a narrowing of the epistemic community shaping policy.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".