Bibliographic record
Abstract
The devastation wrought by the HIV/AIDS epidemic in Aboriginal communities is both physical and metaphorical, as the stigmas associated with the virus mediate the way it is both understood and experienced. This thesis examines the role of HIV in Canadian Aboriginal literature, with an eye to the specific ways that these narratives about HIV relate back to real-world understandings of the epidemic. The works of Tomson Highway, Jordan Wheeler, Beth Brandt, and Gregory Scofield demonstrate how HIV/AIDS is frequently tied to colonial histories and personal experiences of disconnect, alienation, and abuse. HIV operates at the boundaries of these texts, drawing connections between otherwise disparate narratives, highlighting stigmas within communities, and focussing on differently marginalized communities of Aboriginal people in Canada. These authors draw from traditional understandings of storytelling, using narrative to incite important discussions about HIV/AIDS, and to work towards greater acceptance and inclusion of HIV-positive people in Aboriginal communities.
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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 | 0.004 | 0.012 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.010 | 0.016 |
| Science and technology studies | 0.050 | 0.030 |
| Scholarly communication | 0.019 | 0.005 |
| Open science | 0.003 | 0.007 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.008 | 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".