Enhancing Multicultural Awareness: Understanding the Effect of Community Immersion Assignments in An Online Counseling Skills Course
Bibliographic record
Abstract
Counselor education programs provide counselors-in-training (CITs) with courses focused on counseling skill development to increase the CITs’ interpersonal counseling abilities and increase multicultural awareness. The research study presents findings from the author’s exploration of online students’ experiences in an experiential community immersion assignment. For analysis, the data was divided into three timeframes: (a) pre-experience, (b) active-experience, and (c) post-experience. In the pre-experience timeframe two themes emerged: (a) overwhelming nervousness and (b) judgmental thoughts. In the active-experience timeframe two themes emerged: (a) welcoming environment and (b) normalization of the minority population. During the post-experience reflections three common themes emerged: (a) similarities between groups, (b) motivation to create relationships, and (c) increased empathy. The study concluded the participants reported an overall increase in multicultural awareness through their community immersion experiences.
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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 | 0.003 | 0.010 |
| 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 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".