Athapaskans and Migrations : The Archaeology of Eagle Lake, British Columbia
Bibliographic record
Abstract
This document represents the first complete draft of Athapaskan Migrations: The Archaeology of Eagle Lake, British Columbia, published by University of Arizona Press in 2007. The Press required a substantial reduction in the size of the MS and about 30% of the text and about 50% of the figures were removed. Some of the principal arguments were abbreviated and fuller discussion can be found in this document. Other space reductions were in part mitigated by removing six sections and hosting them as on-line appendices at the University of British Columbia Library cIRcle and these can be seen at: http://hdl.handle.net/2429/39217. This 2003 MS was the basis of Matson’s testimony as an expert witness in the Roger William v British Columbia case and cited numerous times in Judge Vickers’ decision (Tsilhqot’in Nation v British Columbia, 2007 BCSC 1700) granting the Tsilhqot’in land title for the rst time in Canada, which was upheld in a 8 to 0 decision by the Canadian Supreme Court in 2014 (Tsilhqot’in Nation v British Columbia, 2014 SCC44). The required reductions to the length of the manuscript meant that any discussion of the court case was not possible in the published version, although we made certain changes as a result of our participation in the case. Magne’s participation is essentially unacknowledged in the court proceedings because his position as a Federal civil servant meant that his formal involvement could only have been on the Government’s side, for which he declined to appear. Matson therefore spoke largely for Magne and himself in his testimony.
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 | 0.002 | 0.006 |
| Science and technology studies | 0.011 | 0.003 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 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".