Bibliographic record
Abstract
Within the colonial context of university teaching, the question of refusal must always be posed with an attentiveness to the fact that the very act of refusal itself fuels the expansion of colonial domain. With each refusal, we tease/map/scare out new terrains for control, conquest, and domination. In this chapter I explore some of the ways in which “refusal” is weaponized against dissent and used to frustrate more earnest forms of engagement, not as much in what is said, but in the affect of being in the classroom as a black person. I suggest that the most important forms of refusal do not happen in events that can be clearly articulated in words. Through a third-person auto-ethnographical account of teaching in Slovenia and in Canada, I will be using Michel-Rolph Trouillot’s notion of the Savage slot as generative of a particular kind of “blackness’” and therefore also Europeanness and always Whiteness in order to historicize the act of teaching. In decolonizing, this chapter returns to imagination, not as active, positive, or creative but as the passive force of curiosity left in the wake of the afterlife of the Slave and the Native.
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 | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.025 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".