Bibliographic record
Abstract
Abstract On May 27, 2021, the Tk'emlúps te Secwépemc First Nation reported the discovery of 215 unmarked graves on the site of the former Kamloops Indian Residential School in British Columbia. Their first response was mourning for the loss of young lives; their second response was melancholia for the loss of the children's names. David Eng and David Kazanjian advocate a “counterintuitive” interpretation of melancholia as “creative,” redefining it as the work of mourning that sustains “a continued and open relation to the past.” Jeff Barnaby's 2013 film about residential school resistance, Rhymes for Young Ghouls, affirms melancholia as a creative relation to the past for Indigenous people while drawing attention to another agency that allows settler society to actively lose the past. Freud remarks that the “most remarkable” quality of melancholia is the way it turns into mania, which ensues when “the ego coincides with the ego ideal.” What if some losses do not make us melancholic but manic? Is it possible to make history by losing history? Settler mania incites Indigenous melancholia by displacing responsibility for children's deaths from church and state to parents who are themselves school survivors.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.003 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.087 | 0.014 |
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".