Page 381, Prince: Stl’atl’imx, Secwepmc & Nlaka’pamux Knowledge PLATEAU FISHING TECHNOLOGY AND ACTIVITY: STL’ATL’IMX, SECWEPEMC AND NLAKA’PAMUX KNOWLEDGE
Bibliographic record
Abstract
The image of Aboriginal men perched over turbulent water with fish nets in hand is well known to many people. Though this picturesque scene may be viewed as romantic and daring, it is actually a way of life for many people in the Plateau region of British Columbia. The ability to carry out this practice relies not so much on bravado and adventure but rather on knowledge of the people passed down for generations. In a museum environment, collection and presentation of many facets of various cultures is a primary focus. Documentation of Aboriginal fishing from the Plateau region of British Columbia has been very weak, however. The Canadian Museum of Civilization (CMC) has only a few artifacts related to fishing. These do not accurately reflect the importance of fishing to Interior Salish peoples, such as the Stl’atl’imx, Secwepemc, and Nlaka’pamux. Nor does the collection encompass the variety of tools and techniques employed by fishermen in this region. Fishing activity is better represented in archival photographs held in the CMC, the Royal British
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.394 | 0.126 |
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".