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Record W3133842458 · doi:10.1177/1469605321991600

An ethical crisis in ancient DNA research: Insights from the Chaco Canyon controversy as a case study

2021· article· en· W3133842458 on OpenAlexaff
Amanda Daniela Cortez, Deborah A. Bolnick, George Nicholas, Jessica Bardill, Chip Colwell

Bibliographic record

VenueJournal of Social Archaeology · 2021
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicForensic and Genetic Research
Canadian institutionsConcordia UniversitySimon Fraser University
Fundersnot available
KeywordsIndigenousEnvironmental ethicsCanyonPeriodizationField (mathematics)SociologyHistoryArchaeologyGeographyEcologyPhilosophyBiologyCartography

Abstract

fetched live from OpenAlex

In recent years, the field of paleogenomics has grown into an exciting and rapidly advancing area of scientific inquiry. However, scientific work in this field has far outpaced the discipline’s dialogue about research ethics. In particular, Indigenous peoples have argued that the paleogenomics revolution has produced a “vampire science” that perpetuates biocolonialist traditions of extracting Indigenous bodies and heritage without the consent of, or benefits to, the communities who are most affected by this research. In this article, we explore these ethical issues through the case study of a project that sequenced the ancient DNA (aDNA) of nine Ancestral Puebloan people from Chaco Canyon, New Mexico. By providing a “thick description” of this controversy, we are able to analyze its metanarratives, periodization, path dependency, and historical contingencies. We conclude that the paleogenomics revolution needs to include an ethical revolution that remakes the field’s values, relationships, forms of accountability, and practices.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.530
Threshold uncertainty score0.994

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.043
GPT teacher head0.398
Teacher spread0.355 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations35
Published2021
Admission routes1
Has abstractyes

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