Plants, Places, and the Storied Landscape: Looking at First Nations Perspectives on Plants and Land
Bibliographic record
Abstract
Plants shape landscapes, and are in turn responsive to the characteristics of the land. In British Columbia, people interacted, and still interact, with plants through their movements on their territories, through the pattern of the seasons, through the course of other activities, and through specific targeted journeys to places known to be plant harvesting sites. The interactions of people, plants and landscape also record human history, and attest to management of landscapes by Aboriginal peoples of British Columbia. In this paper I present a examples to illustrate these relationships drawn from my own work in northwestern British Columbia, and from the work of others elsewhere in the province. Landscape terms and related knowledge are evident in place names, names of Chiefs, Crests and other cultural entities, and in the oral histories of people. Documenting the meanings and applications of these words and appreciating the significance of places they delineate thus enriches understanding of history as well as contemporary relationships to land.
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.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.018 | 0.033 |
| Scholarly communication | 0.010 | 0.005 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".