A bandit model by Professor Jingyi Wu that depicts the emergence of several epistemic advantages for marginalized groups due to testimonial ignoration and devaluation. View the full paper here.
I use network models to simulate social learning situations in which the dominant group ignores or devalues testimony from the marginalized group. I find that the marginalized group ends up with several epistemic advantages due to testimonial ignoration and devaluation. The results provide one possible explanation for a key claim of standpoint epistemology, the inversion thesis, by casting it as a consequence of another key claim of the theory, the unidirectional failure of testimonial reciprocity. Moreover, the results complicate the understanding and application of previously discovered network epistemology effects, notably the Zollman effect.
Implemented here is variation one of Wu's model, which has a homophilic network structure.
Only difference from the base model is the network structure, where agents exhibit a preference to connect with in-group members over out-group members.
- Size of network (18)
- Number of pulls per round (1, 5, 10, 20)
- Probability of B (0.51, 0.55, 0.6, 0.7, 0.8)
- Proportion of marginalized group (1/6)
- P ingroup (0.8 0.9, 1)
- P outgroup (0.6, 0.7, 0.8)
- Proportion of marginalized group (1/3)
- P ingroup (0.7, 0.8 0.9)
- P outgroup (0.3, 0.35, 0.4, 0.45, 0.5)
Jingyi Wu is an Assistant Professor in the Department of Philosophy, Logic and Scientific Method at the London School of Economics. She primarily works on social epistemology and philosophy of physics. She also has interests in general philosophy of science, feminist philosophy, philosophy of race, Asian/American philosophy, and mathematical physics.