The use of intergovernmental grants to municipalities for electoral purposes by subnational governments
Bibliographic record
Abstract
Subnational governments devote a significant share of their financial resources to help municipalities provide local public services to their citizens. Compared to the large number of studies on national governments, little effort has been devoted to the influence of distributive politics on the use of intergovernmental grants by subnational governments. To fill this gap, this study uses a data set covering the period 2001–2011 to verify to what extent the Québec government used conditional grants to municipalities for electoral purposes. The results of this study show that the allocation of grants to municipalities is not exempt from electoral politics as municipalities located in districts held by governing parties or in high electoral competition districts receive more grants than other municipalities. However, the influence of electoral politics decreases substantially when the management of intergovernmental grants is under tight scrutiny by the opposition parties, mass media and the population. These findings suggest that distributive politics can be conceptualised as a political agency problem whose prevalence is seriously constrained by the improvement of the transparency of public policies management.
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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 | 0.007 | 0.026 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| 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".