Empowerment Through Poverty Policy: The Evolution of Conditional Cash Transfer Programs in Mexico
Bibliographic record
Abstract
I examine the family of Conditional Cash Transfer Programs (CCTs) in Mexico comprised of Progresa, Oportunidades, and Prospera -hereafter the Program.CCT programs encourage human capital investment in children while providing monetary support to recipients for their immediate needs.I first examine the evolution of the Program from its introduction in 1997 to 2017.I use qualitative primary and secondary research to track the progress of the Program.Oaxaca is used as a case study owing to its high levels of poverty and high concentration of Indigenous citizens.Primary data on poverty in Mexico and Oaxaca is used to contextualized my argument that the Program has failed to meaningfully address poverty in Oaxaca.ENCASEH survey data is then used to examine the outcomes of the program and deconstruct the issues causing its failure.I adopt a composite critical Marxist-Feminist framework with considerations of indigeneity for analysis of the Program.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.003 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 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".