A SYSTEMIC STUDY OF SOUTH AFRICAN EMIGRANTS' EXPERIENCE OF THE CANADIAN ENVIRONMENT
Bibliographic record
Abstract
The aim of this study was to investigate the coupling between the immigrant and the new environment by focusing on South African emigrants in Canada's experience of the environment. Thus far, acculturation and adaptation research has excluded the physical environment as a study unit. This study focused on the immigrants ‘adaptation as a whole by including the physical environment as a component of the acculturation and adaptation processes. Systems theory constituted a framework for studying the interactions between people, culture and the physical environment. Twenty-four interviews were conducted via the Internet. The first order analysis identified 36 categories of experience. The second order analysis identified nine pattern categories that constitute a shared experience. The third order analysis placed the immigrants’ experience as a whole in the context of interacting systems. In conclusion recommendations are made for interdisciplinary co-operation, further research and the practical implementation of migration research.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.021 | 0.005 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".