Social eect and female genital mutilation (FGM)
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
In this article we attempt to identify the impact of social eects on the decision to practice excision on girls, based on the methodology used by Bertrand, Luttmer and Mallainathan (2000). We are particularly interested in social determinants, and make use of the heterogeneity of behaviors according to area of residence, ethnicity and religion. We focus on the interaction between the density and the quality of contacts to infer a social network. We use the percentage of individuals of the same ethnic group and religion, living in the same survey area, to measure the quantity of contacts, and the percentage of excised women of the same ethnic group and religion to measure the quality of contacts. To implement our trials, we use data from the Burkina Faso's Demographic and Health Surveys 2003, which supplies information on the prevalence of female genital mutilation (FGM) and on the characteristics of Burkina Fasan households. Our results show that social pressure is strongly correlated to the decision to practice excision in Burkina Faso households. Classi…cation JEL: I18; I19; I32; Z13
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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 | 0.000 | 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 it