Cross-Cultural Emotion Recognition among Canadian Ethnic Groups
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 study aims to investigate cultural differences in recognition accuracy as well as the in-group advantage hypothesis for emotion recognition among sub-Saharan African, Chinese, and French Canadian individuals living in Canada. The participants viewed expressions of happiness, anger, sadness, fear, disgust, and shame selected from the Montreal Set of Facial Displays of Emotion. These data did not support the in-group advantage hypothesis under the condition of stimulus equivalence. However, both encoder and decoder effects were found. Specifically, French Canadians were more accurate for the decoding of expressions of shame and sadness. Moreover, fear expressions were best recognized when shown by sub-Saharan Africans, suggesting an effect of salience of expressive cues due to morphological features of the face.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.003 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 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