Feeling Sideways: Shani Mootoo and Kai Cheng Thom’s Sustainable Affects
Bibliographic record
Abstract
Drawing on feminist, queer, trans, and anti-racist theory, this article examines the transmission of affect between racialized queer and trans subjects as a mode of what I call feeling sideways. With this formulation, I seek to spark a discussion about the need to dislodge affect not only from gender and racial normative systems of power but also from linear understandings of growth and temporality. I here follow Kathryn Bond Stockton’s theories of sideways growth (2009) and Heather Love’s notion of backward feelings (2009) to unravel modes of feeling sideways as a potential form of what I call sustainable affect. As case studies, I put two transCanadian works beside each other: Shani Mootoo’s novel Moving Forward Sideways like a Crab (2014) and Kai Cheng Thom’s poetry collection a place called No Homeland (2017). In different but related ways, these texts illustrate how shame, anger, and empathy can become sustainable affects through touch and storytelling, with important ethical repercussions.
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.008 | 0.017 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.000 | 0.004 |
| Research integrity | 0.001 | 0.003 |
| 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".