Building an Inclusive Campus: Developing Students’ Intercultural Competencies Through an Interreligious and Intercultural Diversity Program
Bibliographic record
Abstract
Post-secondary institutions are increasingly recognizing the need to foster intercultural competence (ICC) in students; however, the ways in which these institutions can do so has not been fully explored. The purpose of the current mixed methods study was to investigate changes in post-secondary students’ ICC (N = 35) following participation in an interreligious and intercultural diversity program, based upon changes in students’ scores on the Intercultural Development Inventory (IDI). A thematic analysis of post-program questionnaires was used to triangulate the data and provide more insight into changes experienced by participants. Quantitative results revealed significant increases in students’ overall ICC, and significant decreases in the discrepancy between students’ perceived ICC and their actual ICC. Qualitative results revealed five overall themes: (1) shifting perspectives, (2) enhancing intercultural engagement skills, (3) connecting, (4) inspiring action, and (5) personal growth. Implications for research and practice 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 | 0.005 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.006 | 0.002 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.009 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".