Archaeology in 2021: Repatriation, reclamation, and reckoning with historical trauma
Bibliographic record
Abstract
Abstract Archaeology in 2021 was characterized by a continued call to use the tools of the discipline to document the violence of settler colonialism in the past and present, pushing anthropology to reckon with its own role in perpetuating historical trauma. The tension between disciplinary reflection and reform was most clearly articulated in the use of archaeological geophysics to detect the unmarked graves of incarcerated Indigenous children who died at residential and boarding schools in Canada and the United States. The highly publicized investigation of these schools has brought renewed attention to issues of repatriation and historical reclamation for many communities impacted by settler colonialism. These discussions have reverberated throughout the discipline, prompting revisions to the Society for American Archaeology's “Statement Concerning the Treatment of Human Remains,” reopening conversations around an African American Graves Protection and Repatriation Act, and informing debates around the ethics of DNA research. These conversations are part of a larger movement toward decolonizing the field by using archaeological methods to explore marginalized histories and support communities most impacted by the violences of settler colonialism.
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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 | 0.010 | 0.015 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.038 | 0.031 |
| Scholarly communication | 0.013 | 0.008 |
| Open science | 0.002 | 0.013 |
| Research integrity | 0.006 | 0.009 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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.
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".