Bibliographic record
Abstract
<italic>Indians on Indian Lands</italic> studies dominant caste Indian diasporic formation within the Canadian settler state. Specifically, it theorizes Indian immigrant labor in resource extraction industries, logging, and canneries in unceded lands of British Columbia in the 1960s-1990s and the tar sands in Treaty 6 lands of Alberta currently. The book examines these sites as simultaneous spaces of Indigenous dispossession and spaces of racialized-classed-gendered-casted labor formations. In this book, I explore relationalities, intimacies, complicities, and solidarities of dominant caste Indian diasporic communities with Indigenous people in intertwined processes of settler colonialism, racial colonial capitalism, brahminism, hindu nationalism, anti-Blackness, and heteropatriarchy. It juxtaposes these messy complicities with solidarities as practiced by South Asian activists who are not dominant caste hindus in Tkarón:to. Weaving theory, interviews and conversations, ethnography, cultural and literary analysis, archival research, analysis of recent events, and secondary literature, the book forms the archive of Indigenous and Indian spatial and affective intimacies that exist within and across the empire. This multi-sited, multi-method, and interdisciplinary approach foregrounds stories and makes visible colonial intimacies, casted complicities, and other solidarities.
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How this classification was reachedexpand
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 | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".