Private and Group Tutoring in Egypt: Where is the Gender Inequality?
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
Private tutoring is being practiced at an alarming scale in Egypt and in many other developing countries. Nonetheless, the literature on tutoring is still scant. The purpose of this paper is to gain an understanding of the nature and determinants of tutoring in Egypt, using micro-level data, in order to investigate whether gender bias exists in tutoring decisions. It is expected that since gender disparities are present in educational investments in general, they would be more pronounced in optional educational investments like that of receiving tutoring. It is also expected that since labor market outcomes are more favorable to boys, parents would be less willing to spend on tutoring for girls. Surprisingly, however, no gender bias against girls was detected with respect to tutoring. The absence of bias is in itself a significant and puzzling finding. We conclude that the education premium in the marriage market may be the answer to the puzzle.
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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 | 0.005 | 0.001 |
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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