Bibliographic record
Abstract
Abstract This chapter takes up a moment in the production of the Rocky Cree picturebook, Pīsim Finds Her Miskanaw (2020) , when a gap between Indigenous and non-Indigenous ways of knowing was made evident to team members involved in the project. In thinking through this event, which centred on the portrayal of dignity in a key scene of the book, we turn to Dian Million’s conceptualization of felt theory ( 2009 , 2013 ) to consider the extent to which the work of emotion must be understood as part of larger discursive structures of colonization and the uses of emotional knowledge for decolonial practices, specifically including the decolonization of the academic sector. Building on Million’s work in the second part, we use Sara Ahmed’s theorization of repetition and accumulation in the work of emotion ( 2004 ) to demonstrate more precisely the ways in which representations of dignity in the picturebook contribute to the project’s goal of decolonizing education.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.013 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 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".