Bibliographic record
Abstract
Kennewick Man, an early Holocene (9,000 years old) skeleton found in Washington State in 1996, has been a lightening rod for political discussion. Due to his alleged Caucasoid features, Kennewick Man controversially called into question who first peopled the Americas. A projectile point lodged in his hip also catapulted him to celebrity status. Spared the quick (within ninety days after an inquiry) repatriation typically re- quired under the 1990 federal Native American Graves Protection and Repatriation Act (NAGPRA), Kennewick Man was fully examined by a team of scientists chosen by the government who were forbidden to discuss their findings. Although the team concluded that Kennewick Man has cranial features associated with both Caucasoids and modern Native Americans, he is considered mainly to resemble modern Japanese Ainu, Polynesians, and Southeast Asians, as are other early Amerindian finds. Despite the resolution of early controversies, Kennewick Man continues as a symbol of the ideology of repatriation. In this article, I review the evidence for my belief that, taken to an extreme, the demand to bury aboriginal skeletons, not only in America but also around the world, poses a potentially serious impediment to scientific enquiry.
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 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 | 0.022 | 0.061 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.010 | 0.020 |
| Scholarly communication | 0.012 | 0.007 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.007 | 0.008 |
| Insufficient payload (model declined to judge) | 0.002 | 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".