[~Re]Simulating socioeconomic-based affirmative action
A Python replication concerning simulated socioeconomic-based affirmative action in education policy.
External publication. Published by its original venue; not published in our journal.
How sensitive are simulated selection outcomes to prespecified changes in the applicant distribution?
Use synthetic populations with known distributions, independently recompute selection summaries, and label all outcomes as conditional on the simulation assumptions.
What you could produce
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- No research code was executed; no independent scientific verification has been performed.
- The current qualified pilot is self-contained Python 3.13 with a 90-second author deadline. This article's environment has not been qualified for that path.
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Source and permission context
Allard, Tristan; Béziaud, Louis; Gambs, Sébastien. [~Re]Simulating socioeconomic-based affirmative action. ReScience C 9(1), #2; 10.5281/zenodo.10255347.
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Reviewed 2026-09-14. Copying or adapting source files remains subject to their own terms.
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