Akin to my teacher: Does caste, religious or gender distance between student and teacher matter? Some evidence from India
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
This paper uses a unique data set from 5028 primary school children in rural India to examine whether the demographic interactions between students and teachers influence student outcomes and whether social distance between student and teacher exacerbates gender, caste and religious gaps in children's achievement. One would expect this to be the case if discrimination and/or role model effects persist in the classroom. School and individual fixed effects methodology are used. In the pupil fixed effects model, across subject variation is used to test whether having a teacher whose gender, caste and religion are the same as that of the student improves student test scores. We find statistically significant positive effects of matching student and teacher characteristics. We find that a student's achievement in a subject in which the teacher shares the same gender, caste and religion as the child is, on average, nearly a quarter of a SD higher than the same child's achievement in a subject taught by a teacher who does not share the child's gender, caste or religion. Policy implications are considered.
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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 | 0.004 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.001 | 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