Differences between Aboriginal and non-Aboriginal women engaged in street prostitution in Sudbury.
Bibliographic record
Abstract
This study identifies differences between Aboriginal and non-Aboriginal women engaged in street prostitution in Sudbury, Ontario using an Indigenous Research Paradigm. A sample of twelve women engaged in street prostitution were interviewed using the Prostitution Questionnaire developed by Dr. Melissa Farley of Prostitution Research & Education. Additional questions of regional and cultural relevance were added. A comparison group of nine marginalized women without experience in prostitution was also interviewed with an abbreviated interview tool. The results indicated that Aboriginal women engaged in street prostitution differed from non-Aboriginal women in the following areas: stronger desire for the legalization of prostitution, more experience with discrimination, more physical assaults, higher alcohol consumption, more criticism from others about alcohol consumption, stronger desire to reduce alcohol consumption, more prolonged substance use, stronger desire for treatment of substance use, family with residential school experience, more interest in deepening cultural connections, more active within their faith, greater contact with family and more trusting relationships. Like Aboriginal women engaged in prostitution, Aboriginal women with hardships differed from non- Aboriginal women with hardships in their family experience with residential schools, in being more active within their faith and having greater contact with family. Furthermore, Aboriginal women with hardships also had more family and friends living in a First Nations community, had lived in a First Nations community at some point and had more knowledge of Aboriginal teachings. Additional results outside of identified differences were also included to help define the local populations. The findings, in relation to Aboriginal women engaged in street prostitution, are discussed within the context of historical antecedents, community development and political policies.
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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 | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".