Hunted, Harvested and Homegrown: The Prevalence of Self-provisioning in Rural Canada
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This research examines self-provisioning activities in rural Canada and describes their prevalence both in terms of participation and the degree to which they make material contributions to households. Self-provisioning is correlated with a number of household characteristics, such as employment, income, and length of residency. Results show that self-provisioning activities are still common in rural Canada, particularly those requiring low capital investments such as gardening and wildcrafting. However the analysis reveals weak associations between socio-economic variables and self-provisioning, providing further evidence that, in aggregate, rural households have complex motivations for participating in self-provisioning activities and that economic need is not always the main driver. The data demonstrate a low level of participation amongst the very poorest households, implying structural barriers to participation for some of these activitie
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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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 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 it