Plant Management Systems of British Columbia’s First Peoples
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 paper provides an overview of the diverse plant resource management strategies of First Nations of BC. Contrary to the predominant “hunter-gatherer” designation by anthropologists and others, First Peoples of many parts of the province were actually astute managers of plant and animal resources. Over thousands of years, they developed a wide range of strategies and techniques – from periodic burning of landscapes, to pruning berry bushes, tilling and selective harvesting – to maintain and enhance the quality and quantity of their resources. There are numerous examples of plant species and habitats for which various types of management have been applied. Three case studies are provided here: Culturally Modified western red-cedar trees; estuarine root gardens; and orchard-gardens from an ancient village site in Tsimshian territory. Over generations, as people’s knowledge bases, social systems and technologies mature, plants and environments become embedded into complex belief systems, in which cultural control becomes encoded in stories, taboos, ceremonies, art and ethics. The complexities of this last layer of culturally proscribed management are still little understood, but may be the most significant component of traditional management systems, allowing for the development and maintenance over a long time period of sustainable anthropogenic landscapes. Many aspects of indigenous management systems need further investigation, including ways in which they may be effectively applied in a contemporary world as a way of enhancing and supporting Indigenous peoples’ food security, land rights and continued cultural development.
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 | 0.000 | 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) | 0.000 | 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