Strategies of co-resistance: Indigenous and Black mobilizations to combat state-violence in Canada
Bibliographic record
Abstract
This paper offers a discussion on the spaces in which Queer Black and Indigenous folx come together and engage in co-resistance against state-sanctioned violence. I discuss the ways in which Black and Indigenous folx come together and engage in co-resistance against state-sanctioned violence. I discuss the ways in which Black and Indigenous folx mobilize through centering joy, imagining futurisms, and building relationships across community in order to resist settler-colonialism, white supremacy, and heteronormativity. The paper begins with three theoretical underpinnings that ground the paper in “refusals”, “the everyday”, and “futurisms”. These underpinnings root resistance, resurgence, and liberation in the intimate, everyday, relational spaces whereby sacred relationships are built, the state is refused, and futures without whiteness and settler-colonialism are created. These theoretical underpinnings lead into a poem constructed through interviews with Black and Indigenous community members on Lək̓ ʷəŋən and W̱ SÁNEĆ territories. The interviews are put into conversation with one another through a poem format—allowing for a grounding in a non-linear conversation where the magic of each interviewee’s words and stories are held. This poem highlights the connected struggle against oppressive forces by Black and Indigenous people, the decentering of whiteness, the centering of joy, the relationship building between communities and the land, and the creation of futures outside of settler-colonialism, white supremacy, and heteronormativity.
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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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.061 | 0.015 |
| Scholarly communication | 0.008 | 0.002 |
| Open science | 0.002 | 0.010 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.009 | 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".