The Use of Human Capital and Limitations of Social Capital in Advancing Economic Security among Immigrant Women Living in Central Alberta, Canada
Bibliographic record
Abstract
In this research, the challenges of using human capital and the effectiveness of social capital as an alternative resource used by immigrant women from non-English-speaking countries living in Central Alberta for them to attain economic security are studied. Evidence indicates heavy use of bonding social capital by immigrant women—primarily through family, ethnic, and religious networks—as a “survival” resource at the initial stage of settlement. The bonding social capital is relatively easy to access; nevertheless, in the case of visible minority immigrant women living in Central Alberta, bonding social capital has limited capacity in helping them to obtain economic security because their family and friends themselves often lack economic resources. As a result, these immigrant women are expected to compete in the labor market using their human capital to obtain higher-paying jobs. The challenge among immigrant women remains in seeking recognition of non-Canadian credentials, and/or successful acquisition and deployment of Canadian credentials in the primary labor market.
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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 | 0.001 | 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 | 0.002 |
| 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 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".