Daily agreeableness and acculturation processes in ethnic/racial minority freshmen: The role of inter‐ethnic contact and perceived discrimination
Bibliographic record
Abstract
OBJECTIVES: Having higher levels of mainstream cultural orientation (MCO), an important component of acculturation attitudes and behaviors, is beneficial for ethnic/racial minority students during the transitions into university. Scant research has investigated MCO at a micro daily timescale. This study examined how personality (agreeableness) functions in conjunction with interpersonal processes (inter-ethnic contact and perceived discrimination) to influence MCO as daily within-person processes. METHODS: Multi-level structural equation modeling were used to analyze month-long daily diary data from 209 ethnic/racial minority freshmen (69% female). RESULTS: There was a positive indirect association between agreeableness and MCO through inter-ethnic contact at both within- and between-person levels. At the within-person level, on days with lower (vs. higher) levels of ethnic/racial discrimination, higher levels of agreeableness were associated with higher levels of MCO. CONCLUSIONS: These findings highlight the contributions of intensive longitudinal data in elucidating ethnic/racial minority students' personality and acculturation processes in daily life involving protective and risk factors on micro timescales.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".