Placemaking on the Northwest Coast of North America
Bibliographic record
Abstract
Abstract On the Northwest Coast of North America, current archaeological practice increasingly encompasses a diversity of approaches; these in turn are contextualized within a framework that honors the long-term, place-based connections of Indigenous Peoples to their lands and seas. This review explores these deep-time relationships by summarizing the methods and results used to document their archaeological manifestations, beginning with the earliest dated sites some 14,000 years ago and continuing throughout the Holocene. Understanding the dynamic physical and ecological contexts of Northwest Coast sites requires modeling of postglacial sea-level changes and paleoclimate as well as collecting data on geomorphology and paleoecology. These data also allow us to track the extent to which people have lived persistently in specific spots or regions for millennia. In these places, people emotionally and physically invested in their homes by creating complex aquatic and terrestrial resource management systems that allowed for sustainable harvests of diverse foods and other resources. Understanding these management systems and the social networks in which they are nested and are upheld is facilitated by integrating Indigenous ecological knowledge with innovative, cross-disciplinary techniques. Summaries of the histories of three regions—Prince Rupert Harbour, the lower Fraser River, and the lower Columbia River—illustrate the multi-dimensionality of the long-term, place-based histories of Indigenous Peoples of the Northwest Coast.
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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 | 0.001 | 0.002 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 0.001 |
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".