Mental health in a Canadian Old Order Mennonite community
Bibliographic record
Abstract
This paper presents the results of a 2010 survey exploring the determinants of rural mental health in two farming groups in Waterloo, Ontario, Canada: Old Order Mennonites (OOMs) and non-OOM farmers. Comparing these two groups reduces the likely impact of many contextual features impacting both groups, such as local economic conditions. We explore a comprehensive list of health determinants to assess their relative importance and thus enable policy action to focus on those having the greatest impact. The mental component summary (MCS) of the short- form health survey (SF-12) was used to measure mental health. We compare mental health in the two populations and use multiple regression to determine the relative importance of the determinants in explaining mental health. The results show that OOMs experience better mental health than non-OOMs, in part due to the strong mental health of OOM women. Coping, stress and social interaction shape mental health in both groups, reflecting the broader determinants literature and suggesting these are important across many populations with different life circumstances. Other determinants are important for one group but not the other, underscoring the diversity of rural populations. For example, different social capital measures shape mental health in the two groups, and sense-of-place is associated with mental health in only one group (OOMs). The results are discussed in terms of their implications for future health determinants research and policy action to address rural mental health.
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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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".