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
AbstractThis paper argues that Milwaukee Gurdwara shootings and racism against Sikh communities, and other racialized communities, need to be situated within the broader context of past and ongoing dispossession and colonization of indigenous peoples across North America. The analysis of racial violence is incomplete and inaccurate without the analysis of settler colonialism on stolen lands. This paper asks: What happens if histories of indigenous genocide, dispossession, displacement and colonization are forgotten from the genealogies of racism and colonialism? Taking direction from Amina Mama [1997. Sheroes and villains: Conceptualizing colonial and contemporary violence against women in Africa. In Feminist genealogies, colonial violences, democratic futures, ed. M.J. Alexander and C.T. Mohanty, 46–62. New York: Routledge], this paper examines pernicious continuities, spatially and temporally across continents, to un/map genealogies of race, racism and colonialism.
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 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.006 | 0.002 |
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