Bibliographic record
Abstract
Settler colonialism is exemplary of the processes of biopower theorised by Giorgio Agamben and Michel Foucault. However, settler colonialism remains naturalised within theories of biopower and theories of its relation to coloniality. White supremacist settler colonisation produces specific modes of biopolitics that sustain not only in settler states but also in regimes of global governance that inherit, extend, and naturalise their power. I extend Patrick Wolfe’s theory that a ‘logic of elimination’ constitutes settler colonialism in the genocide and amalgamation of Indigenous peoples, by indicating that this also indigenises and naturalises white settler nations as projections of the West. Agamben’s work illuminates how Indigenous peoples are eliminated in a state of exception to Western law, which by functioning to erase consanguinity – as the patriarch in Roman law eliminates the defiant son - explains Indigenous peoples’ seemingly contradictory incorporation within and excision from the body of white settler nations. This biopolitical process specific to settler colonialism also structures the manner in which white settler societies demonstrably universalize Western law, both within their bounds and in global arenas. My call to denaturalise settler colonialism in social theory is but a first step towards broader study of how the biopolitics of settler colonialism structure current modes of biopower and require concerted critique at the intersections of Indigenous and settler colonial studies.
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 | 0.003 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.033 |
| Scholarly communication | 0.009 | 0.012 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.003 | 0.009 |
| Insufficient payload (model declined to judge) | 0.004 | 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".