Multiple Perspectives on Educationally Resilient Immigrant Students
Bibliographic record
Abstract
This study explores in an innovative manner the notion of resilience in a group of immigrant students. Structured interviews were used to explore resilience issues with immigrant students enrolled in university. Two interviewers collected and recorded data together, but conducted separate and independent analyses to explore differences in results due to their own cultural backgrounds. Findings suggest that the traditional concept of resilience - one based on studies of students from lower socioeconomic classes in school in inner-city neighborhoods that identify social competence, problem-solving ability, autonomy, and satisfaction with school as significant resilience factors - is limited. The findings in this study suggest that immigrant students represent a different pattern of resilience related to a strong cultural belief in the value of education and the support, often financial, provided by their families. Interesting differences in interpretation related to the first culture of the researches suggest that "mirrored reflections" offers one way to capture differences in data interpretation resulting from researchers' backgrounds.
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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 | 0.004 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.017 | 0.014 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.001 | 0.009 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.003 | 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".