Farm Family Coping with Stress: The Impact of the 1998 Ice Storm
Bibliographic record
Abstract
This study looks at how farm families coped with the 1998 ice storm in Eastern Ontario, in particular stress and health impacts. It is based on a mail survey (N = 171) and follow-up qualitative interviews with households (N = 40). Beyond the severity of the event, finances were identified as a key factor in reported incidence of stress symptoms during the ice storm, related to uncertainties with insurance claims and arrangements with banks. Afterwards, off-farm income was found to moderate ongoing stress. Although the social resources the farm community utilized in coping with the storm and its aftermath were identified as highly important by respondents, these did not act to differentially moderate the stress and health impacts. Instead, the findings suggest farm families addressed the financial implications of the ice storm at the household level, compounding existing stress- linked responses to chronic financial strain among farms in the region.
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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 | 0.001 | 0.000 |
| 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".