Are concepts of achievement-related emotions universal across cultures? A semantic profiling approach
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
Verifying that conceptualisations of emotions are consistent across languages and cultures is a critical precondition for meaningful cross-cultural research on emotional experience. For achievement-related emotions tied to successes or failures, such evidence is virtually non-existent. To address this gap, we compared Canadian, German, Colombian, and Chinese university students’ (<i>N</i><sub>Total</sub> = 126) perceptions of affective, cognitive, motivational, physiological, and expressive characteristics of 16 achievement-related emotions using a psycholinguistic tool for profiling emotion concepts (Achievement Emotions CoreGRID). Cross-cultural similarity of emotion concepts quantified through double-entry intraclass correlations was generally high, and highest for their affective, cognitive, and motivational components. However, results also point to cultural variation, particularly for physiological and expressive components. Variation in perceived physiological characteristics was most pronounced for boredom, and for comparisons of Canada, Germany, and Colombia with China. Implications for theoretical propositions of universality of emotion concepts and future research on achievement-related emotions are discussed.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.026 | 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 it