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Record W4393019672 · doi:10.7202/1106913ar

Giving the Past a Future: Community Archaeology, Youth Engagement and Heritage in Quinhagak, Alaska

2023· article· en· W4393019672 on OpenAlexvenueno aff
Charlotta Hillerdal, Alice Watterson, M. Akiqaralria Williams, Lonny Alaskuk Strunk, J. Cleveland, C. A. Joseph

Bibliographic record

VenueÉtudes/Inuit/Studies · 2023
Typearticle
Languageen
FieldHealth Professions
TopicIndigenous Studies and Ecology
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesArchArtPolitical scienceSociologyGeographyArchaeology

Abstract

fetched live from OpenAlex

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.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.005
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.908
Threshold uncertainty score0.994

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0070.001
Scholarly communication0.0000.000
Open science0.0000.003
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.147
GPT teacher head0.403
Teacher spread0.256 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designQualitative
Domainnot available
GenreEmpirical

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".

Quick stats

Citations2
Published2023
Admission routes1
Has abstractyes

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