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Record W2782805317 · doi:10.1177/0306312717751863

‘We’ve been here for 2,000 years’: White settlers, Native American DNA and the phenomenon of indigenization

2018· article· en· W2782805317 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueSocial Studies of Science · 2018
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicRace, Genetics, and Society
Canadian institutionsSaint Mary's University
Fundersnot available
KeywordsIndigenousKinshipIndigenizationWhite (mutation)GenealogyPhenomenonDiversity (politics)CitizenshipRace (biology)SociologyPolitical scienceGender studiesEthnologyEnvironmental ethicsAnthropologyBiologyHistoryGeneticsLawPoliticsEcologyGeneEpistemology

Abstract

fetched live from OpenAlex

Relying on a populace well-educated in family history based in ancestral genealogy, a robust national genomics sector has developed in Québec over the past decade-and-a-half. The same period roughly coincides with a fourfold increase in the number of individuals and organizations in the region self-identifying with a mixed-race form of indigeneity that is counter to existing Indigenous understandings of kinship and citizenship. This paper examines how recent efforts by genetic scientists, working on a multi-year research project on the 'diversity' of the Québec gene pool, intervene in complex settler-Indigenous relations by redefining indigeneity according to the logics of 'Native American DNA'. Specifically, I demonstrate how genetic scientists mobilize genes associated with Indigenous peoples in ways that support regional efforts to govern settler-Indigenous relations in favour of otherwise white settler claims to Indigenous lands.

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.

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)0.000
metaresearch head score (Gemma)0.000
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 score0.058
Threshold uncertainty score0.993

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.010
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.014
GPT teacher head0.298
Teacher spread0.284 · 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