Bibliographic record
Abstract
There has been a recent proliferation of Indigenous-made zombie narratives that blend traditional Indigenous knowledge with contemporary monsters using a technique that Teresa A. Goddu calls “haunting back.” “Haunting Back” allows these narratives to interrupt Canadianism and its role in ongoing colonization, thus disrupting historical contagion and providing Indigenous storytellers with the opportunity to reclaim bits of the history that has silenced, misrepresented, and caused violence to them. For example, in the 2019 Mi’kmaq film, Blood Quantum, Indigenous peoples are immune to the zombie pathogen. Immunity opens up space for the film to haunt back against a variety of historical conflicts that Canada has used to define itself, such as the Cabot foundation myth, the 1981 raids at Restigouche, and the 1990 Oka crisis. Ultimately, films like Blood Quantum unveil how the history of Turtle Island (North America) is predicated on the silencing of Indigenous peoples, and they are finally writing (haunting) back.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.075 | 0.011 |
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".