An explicit religious label impacts visual adaptation to Christian and Muslim faces
Why this work is in the frame
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Bibliographic record
Abstract
Opposing aftereffects can be induced across two sets of face categories. The current literature suggests that in order to create opposing aftereffects, the two categories must (1) be perceptually distinct and (2) represent distinct meaningfully social categories. The current study was designed to test whether religion is one of the types of social categories that can support the formation of opposing aftereffects. Experiment 1 reports the creation and validation of a Christian and Muslim face set, demonstrating that the religious membership of the face images is visually identifiable. In experiment 2 we attempted to create opposing aftereffects by having adult participants fixate on Christian and Muslim faces that were expanded and contracted. Participants either heard religious membership explicit or control audio recordings. Opposing aftereffects were observed only when Christian and Muslim faces were explicitly labeled. In experiment 3, eight-year-olds were adapted to a similar paradigm, with explicit religious information provided. Opposing aftereffects were not observed. Results of these experiments suggest that for adults, religion might be the kind of meaningful social category required for the formation of opposing aftereffects, but only if religious category membership is made explicit. Eight-year-old children's understanding of religious categories may still be developing.
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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) | 0.001 | 0.001 |
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