Historical ecology of forest garden management in L <u>a</u> xyuubm Ts’msyen and beyond
Bibliographic record
Abstract
Cultural land-use is an important driver of ecosystem change, influencing the composition of species across landscapes and through time. Recent research in northwestern North America has shown that historical Indigenous land-use and forest management has resulted in relict forest gardens dominated by edible fruit, nut, and berry producing trees and shrubs – many of which continue to grow adjacent to archaeological village sites today. Our research combines archaeological and ecological methods to better understand the historical ecology of seven forest gardens in the Pacific Northwest. Vascular plant communities at all sites are evaluated for distinctiveness using ANOSIM, NMDS, and indicator species analyses. We identify 15 forest garden indicator species, all of which are culturally significant edible fruit or root-bearing species. We then present the results of an intensive historical-ecological study of one site in Laxyuubm Gitselasu (Ts’msyen). Paleoethnobotanical data, soil and tree ring analyses, and radiocarbon dates show that forest management in the Gitsaex forest garden of Gitselasu pre-dates settler colonialism and shows that people likely modified soils and otherwise enhanced their immediate environment to increase the productivity of desired plant species. Given the importance of Indigenous peoples’ role in sustaining forested foodsheds, there is an ongoing and urgent need to support their revitalization and management and better understand the integrated cultural practices and ecological processes that result in these vast cultural landscapes.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.001 | 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 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".