Neo-liberalism, Semi-clientelism and the Politics of Scale in Mexican Anti-poverty Policies
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Abstract This article examines the implications of the multi-scalar politics of Mexican anti-poverty policy for the long-term process of democratization. The federal anti-poverty policy, Progresa/Oportunidades, was designed to eliminate traditional clientelistic practices. While more obvious practices of pork-barrel politics have been eliminated in poverty alleviation programs, continued practices of top-down processes of program design and implementation strategies have resulted in the emergence of semi-clientelism. Argued in this paper is that municipal and state political actors have responded to these federal policies in ways that may or may not promote deeper levels of democracy, and which have led to the reconstitution of semi-clientelism. The paper draws upon recent revisionist approaches to political clientelism, and introduces a multi-scalar approach borrowed from political geography. Based on this theoretical approach, the article examines the role of state and municipal authorities in the delivery of federal anti-poverty benefits within the Oportunidades conditional cash transfer program.
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.
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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.015 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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 it