Out of School Factors Affecting Indigenous Girls’ Educational Attainment: A Theory of Change for the Opening Opportunities Program in Rural Guatemala
Bibliographic record
Abstract
Guatemalans have the lowest education rates in Latin America, and within Guatemala, Indigenous, rural and poor girls have much lower education rates than their peers. The ‘Opening Opportunities’ program attempts to invest in the poorest girls from rural Guatemala to build their personal, social, health and economic assets. Realist evaluation attempts to understand the key mechanisms in complex social interventions, and is under-used in education research. Based on data from life history interviews from graduates, this paper presents a Theory of Change to understand the contexts, mechanisms and outcomes of the ‘Opening Opportunities’ Program relating to educational attainment. The four mechanisms most discussed by program graduates are: leadership and participation create confidence; greater networks (models, mentors, peers); opportunities created to participate in novel paid work; and desire for later marriage and childbearing. This is the first Theory of Change that explains out of school factors affecting educational attainment.
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How this classification was reachedexpand
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".