Cultural differences in memory for faces and associated perceptual versus social contexts
Bibliographic record
Abstract
The current study investigates cultural differences in memory for faces and their associated contexts between East Asian and Western cultures. Thirty-six Caucasian Canadian (age range = 17 - 30, M = 21.00, SD = 3.94) and 35 native Chinese (age range = 19 – 27, M = 22.06, SD = 2.33) young adults participated in the study. At encoding, participants subjectively rated face stimuli according to the cue words within social (“FRIENDLY” vs. “SUCCESS”) and perceptual (“HEIGHT” vs. “WEIGHT”) contexts. At test, participants performed a context recognition task to identify whether the test stimulus was a new face or an old face associated with a specific context cue word. Results did not show any cultural difference in memory. However, both cultures showed better recognition in the social context than in the perceptual context condition. In addition, the other race effect was observed in context memory for Canadian, but not Chinese participants.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 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 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".