A Social Cognitive Learning Program for Facilitating Intercultural Relations
Bibliographic record
Abstract
This paper describes an experimental social learning program that has recently become available to help immigrants and international students extend their social skills for quick adjustment to the foreign country. The EXCELL TM (Excellence in Cultural Experiential Learning and Leadership) program is a practice-focused group program designed to enhance foreigners' confidence and skills in workplace, academic and other interpersonal contexts. The paper reviews the conceptual framework behind the EXCELL TM program and how this leads to the group process for teaching each sociocultural competency. There is a summary of the evidence of the effectiveness of the program when undertakes by immigrants, international students, and mixed groups of overseas-born and local-born students. The evidence drawn from evaluation studies conducted in Canada, the United Kingdom, and Australia, shows that the program enhanced the social interaction skills and social self-efficacy of both overseas - and local-born. The latter finding shows that EXCELL TM also serves well as a general social effectiveness program. The theoretical and practical implication of these findings for facilitating newcomers' cross-cultural adaptation and enhancing cross ethnic relations are discussed.
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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 | 0.001 |
| 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 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.035 | 0.004 |
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".