Huckleberries, Food Sovereignty, Cumulative Impact and Community Health: Reflections from Northern British Columbia, Canada
Bibliographic record
Abstract
"For many communities around the world, ability to access healthy and culturally valued foods is compromised by cumulative impacts of a wide range of activities on the local or regional land base which impact the landscape ability to provide these foods. Our paper reviews the intersection of traditional Gitxsan/Gitanyow food resources and their management and allocation systems with a series of challenges presented by commercial forestry and impacts of other forms of development (e.g. pipeline or power transmission corridors) on the land base traditionally managed by the communities of Gitwangak and Gitanyow (British Columbia, Canada), with particular attention on black huckleberry (Vaccinium membranaceum, Sim Maa’y) availability and management. We argue that these impacts affect social, cultural and ecological health and are issues of food sovereignty. Effectively, the land base itself is treated as a commons where traditional rules of management, responsibility and access to resources have been disrupted and overlaid by a series of historical and contemporary changes mediated by colonial, provincial and federal governments and global industries. In recent developments, commercial harvest of black huckleberry further threatens local access to this most significant traditional plant food, whose Gitxsan name means ‘real or true berry’."
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.022 | 0.007 |
| Scholarly communication | 0.006 | 0.001 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.007 | 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 source (direct Gemma or distilled Codex), 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".