An Investigation into the Cross-Cultural Adaptation of Immigrants to Urban and Rural Canada Using the Multidimensional Individual Difference Acculturation (MIDA) model
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Bibliographic record
Abstract
In the present chapter, the processes of acculturation experienced by immigrants living in rural and urban settings in Canada are examined. Comparative analyses using the MIDA (Multidimensional Individual Differences Acculturation) model were conducted with immigrants living in rural and urban settings. Two hundred twelve first-generation immigrants living in rural (n=106) and urban (n=106) areas in the province of Ontario, Canada participated in the study. The results demonstrated that the urban sample scored significantly higher on measures of adjustment than the rural sample. There were, however, several consistent relations between predictors and outcome measures in the MIDA model for both samples. The findings are discussed with reference to the relative isolation of the rural sample, Canadian policy toward immigrants, and measurement issues.
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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 | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it