Does Patronage Still Drive Politics for the Rural Poor in the Developing World? A Comparative Perspective from the Livestock Sector
Bibliographic record
Abstract
ABSTRACT Is the analysis of patron–client networks still important to the understanding of developing country politics or has it now been overtaken by a focus on ‘social capital’? Drawing on seventeen country studies of the political environment for livestock policy in poor countries, this article concludes that although the nature of patronage has changed significantly, it remains highly relevant to the ways peasant interests are treated. Peasant populations were found either to have no clear connection to their political leaders or to be controlled by political clientage. Furthermore, communities ‘free’ of patron–client ties to the centre generally are not better represented by political associations but instead receive fewer benefits from the state. Nonetheless, patterns of clientage are different from what they were forty years ago. First, patronage chains today often have a global reach, through trade, bilateral donor governments and international NGOs. Second, the resources that fuel political clientage today are less monopolistic and less adequate to the task of purchasing peasant political loyalty. Thus the bonds of patronage are less tight than they were historically. Third, it follows from the preceding point and the greater diversity of patrons operating today that elite conflicts are much more likely to create spaces in which peasant interests can eventually be aggregated into autonomous associations with independent political significance in the national polity. NGOs are playing an important role in opening up this political space although at the moment, they most often act like a new type of patron.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.008 | 0.010 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 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".