Archaeology and Social Justice in Native America
Bibliographic record
Abstract
Over the past 20 years, collaboration has become an essential aspect of archaeological practice in North America. In paying increased attention to the voices of descendant and local communities, archaeologists have become aware of the persistent injustices these often marginalized groups face. Building on growing calls for a responsive and engaged cultural heritage praxis, this forum article brings together a group of Native and non-Native scholars working at the nexus of history, ethnography, archaeology, and law in order to grapple with the role of archaeology in advancing social justice. Contributors to this article touch on a diverse range of critical issues facing Indigenous communities in the United States, including heritage law, decolonization, foodways, community-based participatory research, and pedagogy. Uniting these commentaries is a shared emphasis on research practices that promote Indigenous sovereignty and self-determination. In drawing these case studies together, we articulate a sovereignty-based model of social justice that facilitates Indigenous control over cultural heritage in ways that address their contemporary needs and goals.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.018 | 0.031 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".