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
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.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.003 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.458 | 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