The Tuvaaluk and Torngat archaeological projects: Review and assessment
Bibliographic record
Abstract
In the late 1970s, two large, multi-disciplinary, multi-year archaeological programs were initiated along the coasts of northern Labrador and Ungava in northern Quebec. Both envisioned a new model for Arctic archaeology that integrated archaeology, ethnography, environmental studies, earth sciences, and informatics. The Tuvaaluk research program was directed by Patrick Plumet at the Université du Québec à Montréal, and the Torngat Archaeological Project (TAP) by William Fitzhugh at the Smithsonian Institution and Richard Jordan at Bryn Mawr College. Project periods lasted roughly five years and included researchers and students from several institutions. The Tuvaaluk project concentrated on Paleoeskimo and Thule cultures, while TAP included research on Maritime Archaic and later Indian cultures as well as Paleoeskimo and Inuit cultures. This paper reviews and compares Tuvaaluk and TAP goals, methods, results, lessons learned, and legacies.
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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 | 0.010 | 0.019 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.020 | 0.033 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".