Giving the Past a Future: Community Archaeology, Youth Engagement and Heritage in Quinhagak, Alaska
Bibliographic record
Abstract
Initiated by the descendant community of Quinhagak and endorsed by village Elders, the Nunalleq Archaeology Project was unique for Yup’ik Alaska when it began in 2009. Since then, this embedded community project has provided the village with over a decade of archaeological presence in the form of excavations, finds processing, conservation lab work, and, since 2018, a local repository housing the entire archaeological collection. Accounts of collaborations between archaeologists and Indigenous communities often focus on Elders and cultural bearers. However, whilst these collaborators are, and continue to be, invaluable for the Nunalleq project, here we want to acknowledge the generation of young adults who have grown up with the Project, and to whom archaeological finds and artifacts are now an intrinsic part of their heritage. This paper discusses how the Nunalleq Archaeology Project has come to influence local heritage, and how community engagement has in turn shaped the archaeological practice and co-designed outreach work. We constructively reflect upon insights borne from a decade of collaborative practice and critically ask how such community collaborations may be strengthened for the future.
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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 | 0.005 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.020 | 0.012 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.001 | 0.002 |
| 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".