Understanding First Nations exposure and sensitivity to economic and ecological change in 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
First Nations in Canada engage in a form of mixed economic production that includes the complementary integration of subsistence (eg hunting, fishing, gathering, sharing) and wage-earning sectors. The flexibility of mixed economies has long enabled First Nations to optimise the use and allocation of household assets (eg time, labour, income) during times of economic and ecological change. In this study, we relied on the disaggregation of household (N=1268) data to measure the extent to which First Nations households in the Peace River region of British Columbia and Alberta engage in the mixed economy. We found that 24% (N=303) of First Nations households participate at an above average level in wage-earning and subsistence harvesting and are involved in relatively dense food sharing networks. These households are in the most optimal position to respond to economic or ecological changes by exploiting the range of household assets at their disposal. Conversely, 29% (N=368) of households participate in both wage-earning and subsistence harvesting at below average levels and are largely excluded from food sharing networks. These households may be most sensitive to even modest exposure. The results of this research offer a fine scale analysis of household characteristics that can be used by First Nations governments for targeted interventions to alleviate household exposure to economic and ecological change. This article was published open access under a CC BY licence: https://creativecommons.org/licences/by/4.0 .
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 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 it