Repatriating the Past: Removing the Border through Transnational History
Bibliographic record
Abstract
In 2006, Washington's Nooksack Tribe and British Columbia's Stó:lō Nation collaborated to repatriate to Canada a United States-held stone figure. The figure's homecoming was heralded on both sides of the border after being missing for more than a century. This article investigates one process through which this collaboration occurred, namely, the reframing of the cultural and political geography of the region. By reframing their history as transnational, the Coast Salish are erasing the international border and challenging the settler colonial state(s) and the primacy of the nation-state system. This reframing-as-transnational approach has numerous implications for the Coast Salish as they overcome their divided status under two separate legal and political regimes. Additionally, changing our frame of reference away from the nation-state advances Coast Salish studies and anthropology itself, as we too have been divided by political borders in our research with First Nations.
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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 | 0.004 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.032 | 0.031 |
| Scholarly communication | 0.011 | 0.011 |
| Open science | 0.002 | 0.013 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.009 | 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".