Rationalism and the silencing and distorting of Indigenous voices
Bibliographic record
Abstract
Rationalism refers to a mode of theorizing that sees in universal reason the right tool to apprehend politics. It affirms that everything needs to be grounded in reason and it is optimistic that reason has the power to set all social and political institutions and practices on firm rational foundations. In this paper, I argue that this mode of theorizing is a source of epistemic violence in that it silences and distorts the voices of the Indigenous peoples of Turtle Island. I firstly explain what this mode of theorizing is in greater detail. I secondly provide an account of the ways in which it is generally applied to the theorization of Indigenous peoples and to their political claims. Thirdly and fourthly, I explain how this rationalist mode of theorizing both silences and distorts the voices of Indigenous peoples. Finally, I explain what is entailed in opposing rationalism so as to hear Indigenous peoples in their own voices. I discuss two considerations about politics and political theory that should be kept in mind so as to avoid masking domination under the guise of reason and ignoring people’s agency in determining the right structure of society.
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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 | 0.016 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.005 | 0.108 |
| Scholarly communication | 0.007 | 0.008 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.006 | 0.007 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".