Mexico and social provision by the federal government and the federal district: Obstacles and openings to a Social Protection Floor
Bibliographic record
Abstract
This article examines the lessons that can be drawn from social protection programs in Mexico at both the national and sub-national scales for the Social Protection Floor (SPF) initiative for the implementation of the Global Social Floor proposal in Mexico. Mexico’s federal anti-poverty program, Progresa/Oportunidades, was a pioneer in the application of a social investment paradigm to the provision of social benefits to the extreme poor, and the targeting of benefits. At the same time, the left-leaning Partido de la Revolución Democrática (PRD) governments of the Federal District have introduced an ambitious new series of social programs at the municipal scale. PRD governments have directly criticized the targeting and surveillance involved in the Oportunidades program. Instead, the PRD has advocated more universalistic approaches to social policy, based on principles of social rights. This article examines the areas of congruence and dissonance between these Mexican innovations in social policy and the SPF initiative.
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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 | 0.006 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.010 | 0.009 |
| Scholarly communication | 0.010 | 0.004 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.004 | 0.004 |
| 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".