Historical Ecology of Cultural Keystone Places of the Northwest Coast
Bibliographic record
Abstract
ABSTRACT For many Indigenous peoples, their traditional lands are archives of their histories, from the deepest of time to recent memories and actions. These histories are written in the landscapes’ geological features, contemporary plant and animal communities, and associated archaeological and paleoecological records. Some of these landscapes, recently termed “cultural keystone places” (CKPs), are iconic for these groups and have become symbols of the connections between the past and the future, and between people and place. Using an historical‐ecological approach, we describe our novel methods and initial results for documenting the history of three cultural keystone places in coastal British Columbia, Canada: Hauyat, Laxgalts'ap (Old Town) and Dałk Gyilakyaw (Robin Town) (territories of Heiltsuk, Gitga'ata, and Gitsm'geelm, respectively). We combine data and knowledge from diverse disciplines and communities to tell the deep and recent histories of these cultural landscapes. Each of CKPs encompasses expansive landscapes of diverse habitats transformed by generations of people interacting with their surrounding environments. Documenting the “softer” footprints of past human‐environmental interactions can be elusive and requires diverse approaches and novel techniques.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.006 | 0.004 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| 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".