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Record W2939773378 · doi:10.1525/dcqr.2019.8.1.17

The Great Migration of Whys

2019· article· en· W2939773378 on OpenAlexaboutno aff
Sean Gleason

Bibliographic record

VenueDepartures in Critical Qualitative Research · 2019
Typearticle
Languageen
FieldHealth Professions
TopicIndigenous Studies and Ecology
Canadian institutionsnot available
Fundersnot available
KeywordsEthnographyHistoryFellOral historyEthnologyExcavationAnthropologyArchaeologyGeographySociologyCartography

Abstract

fetched live from OpenAlex

Nunalleq is a pre-contact Yup'ik village (1350–1660 CE) massacred during a centuries-long conflict known today as the Bow and Arrow Wars. As global temperatures fell during the Little Ice Age (1300–1800 CE), conflict intensified along the Yukon-Kuskokwim delta as food raids and village burnings became commonplace among warring Yup'ik communities. The following essay considers the events of Nunalleq alongside a new era of migration as Yup'ik prepare to move farther inland in response to human-induced climate change. Specifically, I reflect on the relationships between Yup'ik material culture and oral history, and how these histories adapt over time. This writing is an experimental ethnography based in archaeological excavation and participant observation. This writing is oral history. This writing should be read aloud.

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)0.011
metaresearch head score (Gemma)0.010
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.595
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0110.010
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.001

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 head0.348
GPT teacher head0.675
Teacher spread0.327 · 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
Published2019
Admission routes1
Has abstractyes

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