Overcoming adversity: resilience & coping mechanisms developed by recent immigrant women living in the inner city of Calgary, Alberta
Bibliographic record
Abstract
This article explores the resilience and coping mechanisms used by urban immigrant women to \nmediate gender, migration, socioeconomic conditions, locality and health. A purposive sample of \neleven women who had recently immigrated to Canada was interviewed. Despite added stress, guilt \nand frustration of migration the women demonstrated agency and resiliency, enabling them to \ndevelop effective coping strategies. Life in the inner city was described as convenient upon first \narrival, however, the inner city neighbourhood did not constitute a community for any of the women. \nStrong network-building skills enabled them to reach beyond the inner city and identify other coping \nstrategies. While services for immigrants tend to be located centrally, in this case the inner city was \ngenerally considered a transient place for recent immigrant women and their families.
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How this classification was reachedexpand
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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".