Moving beyond Weiss and Springer’s<i>Repatriation and Erasing the Past:</i>Indigenous values, relationships, and research
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.
Bibliographic record
Abstract
Abstract This commentary debunks the poor scholarship in Repatriation and Erasing the Past by Elizabeth Weiss and James Springer. We show that modern bioarchaeological practice with Indigenous remains places ethics, partnership, and collaboration at the fore and that the authors’ misconstructed dichotomous fallacy between “objective science” and Indigenous knowledge and repatriation hinders the very argument they are espousing. We demonstrate that bioarchaeology, when conducted in collaboration with stakeholders, enriches research, with concepts and methodologies brought forward to address common questions, and builds a richer historical and archaeological context. As anthropologists, we need to acknowledge anti-Indigenous (and anti-Black) ideology and the insidious trauma and civil rights violations that have been afflicted and re-afflicted through Indigenous remains being illegally or unethically obtained, curated, transferred, and used for research and teaching in museums and universities. If we could go so far as to say that anything good has come out of this book, it has been the stimulation in countering these beliefs and developing and strengthening ethical approaches and standards in our field.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it