Exploring the experiences and perceptions of EAL learners' challenging cross-cultural interactions
Bibliographic record
Abstract
This study explores the experiences and perceptions of adult visitors to Canada who experience interaction problems. The researcher adapted Ilieva’s (2001) eight step culture exploration process to include the dimension of empathy which was used as a frame to help with analyzing the participants’ stories. The researcher expands the phenomenological lens by using a heuristic inquiry approach to highlight ten first-person accounts of adult English as an additional language (EAL) learners’ cross-cultural experiences in and out of classrooms. Using open-ended interviews as her primary data source, the researcher advocates for the use of empathy with EAL learners and her findings revealed main themes related to adult visitors’ acculturation such as acceptance of ambivalence, challenges with EAL, and cross-cultural learning. The information from the study provides a starting point to fill the gap in research involving the effectiveness of using empathy with EAL learners as a strategy for handling interaction problems.
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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 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.007 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.001 | 0.002 |
| 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".