The experience of food insecurity for rural families : nursing practice and policy implications
Bibliographic record
Abstract
Food insecurity is a problem for almost 1 in 10 Canadians (Tarasuk & Vogt, 2009). There is a growing body of literature citing the negative physiological, social, and emotional consequences of food insecurity, yet little is known about the everyday lived experiences of families with food insecurity. This critical ethnography used semi-structured interviews to explore the experience of food insecurity from the perspective of seven mothers with children in rural Ontario, recruited through convenience and purposeful sampling. Critical theory and critical caring theory informed the qualitative research design and analysis, with attention to broad social, historical, political, and economic influences on food insecurity. Findings describe the great lengths participants went to make ends meet. These findings are framed using the social determinants of health. Influences of the rural environment, community supports, and broader sociopolitical policies on families' food insecurity are discussed, with practice and policy implications for community health nurses.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.000 |
| Scholarly communication | 0.000 | 0.003 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".