Multicultural Efficacy Beliefs in Higher Education: Examining University Instructors’ Burnout and Mental Well-Being
Bibliographic record
Abstract
Canadian universities are experiencing a dramatic increase in enrollment of students from diverse backgrounds. Evidence suggests many educators are not prepared to teach in multicultural contexts. Educators' lack of preparedness to teach in such contexts may lead them to develop burnout, which can negatively impact their mental and professional well-being. However, self-efficacy beliefs may buffer against job burnout and promote mental well-being. Hence, multicultural efficacy is an important factor for teaching in multicultural settings. In this study, we examined the relationships of multicultural efficacy with university instructors' burnout and mental well-being. A total of 158 faculty and sessional instructors were recruited from four prominent higher education institutions in Canada. The results revealed that multicultural efficacy was significantly related to the Personal Accomplishment facet of burnout and mental well-being, even after controlling variance accounted for by demographics, job-related characteristics, teaching self-efficacy, and colour-blind racial attitudes. These findings indicate that domain specific multicultural efficacy and general teaching self-efficacy are distinct constructs. Further, findings may inform the development of training opportunities and diversity-related workshops to enhance university instructors' awareness of diversity, social justice issues, and multicultural efficacy to better equip them for instruction in multicultural classrooms.
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How this classification was reachedexpand
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) | 0.001 | 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 teacher head, 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".