<scp>S</scp>ocial capital and drought‐migrant integration in 1930s Saskatchewan
Bibliographic record
Abstract
Abstract This study examines the role played by social capital in the migration of rural households from drought‐stricken areas of southern Saskatchewan to the Aspen Parkland during the 1930s. During a period of extremely difficult economic and environmental conditions rural households relied heavily on social networks, and the capital generated within them, to identify and select potential migration destinations, and to integrate into a destination region very different in agro‐ecological terms than the source areas. By combining archival and secondary data and findings from in‐depth interviews with migration participants, an enhanced understanding was obtained of the relationship between social capital, migration, and adaptation processes during Depression‐era droughts. This case study, and the insights derived from it, is a useful historical analogue from which to improve our understanding of future adaptation and migration responses to anthropogenic climate change under similar socio‐economic and geographical conditions.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.005 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| 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".