Four women at the end of the world
Bibliographic record
Abstract
Dolly Pentreath of Cornwall (1692-1777); Shanawdithit of Newfoundland (c.1801-1829); Trukanini of lutruwita/Tasmania (c.1812-1876); and, Cristina Calderón of Tierra del Fuego (1928-2022), have all, famously and wrongfully, been named by imperialist Europeans as being the ‘last’ speaker of their language or the last member of their ‘tribe’ or ‘race’. In fact, all these women have been survived by communities who challenge the idea of their groups’ ‘extinction’. How and why did this contradiction occur? Through modern history, European imperialists have imposed the moniker of ‘last’ upon Indigenous individuals as a way to both mourn and celebrate their own expansionist powers. Most of these ‘last’ peoples have been women living at the edges of continents. The geographical and gendered nature of extinction discourse has, however, been little examined by historians. Indeed, there are no histories of imperial extinction discourse that extend beyond the ‘doomed race’ theories of the long nineteenth century, or that include a counter discourse of Indigenous survival and resurgence. This presentation considers how an exploration of the lives of the abovenamed four women might address this historiographical gap.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.013 | 0.006 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.013 | 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".