The Within-Person Dynamics of Intrinsic and Extrinsic Motivation, Affective States, and Cultural Identification
Bibliographic record
Abstract
This study investigates the link between motivational and affective experiences in the daily life of bicultural individuals. Employing a diary design, the authors examined the role of cultural identification in the dynamic goal–affect association in East-Asian Canadian biculturals. Using multilevel modeling procedures, the authors found that momentary cultural identification systematically moderated the association between extrinsic motivation and Negative Affect (NA) over time. Similar to previous findings observed from monocultural Westerners, biculturals in this study showed a positive association between extrinsic motivation and NA when they identified with Western culture. When they identified with Asian culture, however, biculturals' extrinsic motivation was not linked to NA, suggesting that when their Asian identity is salient, they are less negatively influenced by extrinsic goal pursuit than when they identified with Western culture. Findings indicate the importance of within-individual short-term variations in cultural identification for understanding the affective implications of extrinsic motivation in the lives of bicultural individuals.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".