The creation of the <i>expected</i> Aboriginal woman drug offender in Canada
Bibliographic record
Abstract
This article illustrates how the Aboriginal female drug user is responded to as an expected offender based on the intersection of her gender, race, and class. Drawing on the findings of a national Canadian study documenting the lived experiences of First Nations, Métis, and Inuit female drug users, we argue that the strengthening of cultural identity can potentially disrupt this expected status at both the individual and social system levels. Within the framework of critical victimology, the challenge then becomes to translate this understanding into praxis. In response, we suggest advancing women's agency at the individual level in the face of disempowering images and practices related to the offender, the victim, and Aboriginality. For change at the system level, we return to Christie's notion of the need to dismantle the stereotypical construction of the Aboriginal female drug user. We illustrate both levels of change with an innovative form of knowledge sharing, which aims to evoke transformation with respect to individual and socially constructed conceptualizations of identity.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.042 | 0.017 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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".