“The Old Village”: Yup’ik Precontact Archaeology and Community-Based Research at the Nunalleq Site, Quinhagak, Alaska
Bibliographic record
Abstract
Centred on the underresearched precontact archaeology of southwest coastal Alaska, the Nunalleq project is a decade-long collaboration between the Yup’ik village of Quinhagak and the University of Aberdeen. The Nunalleq archaeological site, like countless others in the Arctic, is being rapidly destroyed by the combined effects of global warming. Newly thawed permafrost soils are extremely vulnerable to rapid marine erosion from rising sea levels and decreases in seasonal ocean ice cover. Organic artifacts at the site have been preserved in remarkably intact condition, revealing an extraordinary record of precontact Yup’ik culture. But with the disappearing permafrost, this archaeological and ecological record is gradually decomposing, and recovery and analysis has become time critical. The Nunalleq project is a community-based response to locally identified needs to both recover threatened archaeological heritage and to find new ways to reconnect young people to Yup’ik culture and tradition. The results of the project have far exceeded our original expectations. Similar collaborative efforts may be the best hope for addressing threatened archaeological heritage in the North and beyond.
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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 | 0.001 | 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 | 0.008 | 0.003 |
| Scholarly communication | 0.001 | 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".