Bibliographic record
Abstract
HIV/AIDS is fast becoming a global crisis and young people worldwide are one of the most vulnerable groups. Within the youth population there is strong evidence that girls are particularly at risk (UNAIDS). Our interest in gender youth and HIV risk was inspired by the work of the Canada South African Management Program (CSAEMP) a partnership of CIDA McGill University and the National Department of Education in South Africa. Through CSAEMP Mitchell and Larkin worked with South African educators and learners on the development of the education module Opening Our Eyes: Addressing Gender-Based Violence in South African Schools (Mlamleli Napo Mabelane Free Goodman Larkin Mitchell Mkhize Robinson and Smith) a document designed to educate teachers about issues related gender-based violence. This CIDA-funded project brought to light the link between gender and HIV a connection we are now applying to our understanding of HIV risk in Canadian youth. The AIDS crisis in South Africa is particularly acute: the national rate of prevalence is 22.8 per cent with infection rates rising at an alarming rate most significantly in youth (Anthropology News). In Canada however the number of reported HIV infections is also on the rise with more teens infected than ever before (Health Canada 2000). With the stark increases in incidence among women in both the industrialized and the developing world there is growing acknowledgement that HIV/AIDS is a highly gendered disease (Simmons Farmer and Schoepf; UNAIDS). The rise in the HIV incidence rate of both women and youth suggests that young females be a particularly vulnerable group (Grierson; White; Wingwood and DiClemente). In South Africa for example the HIV incidence rate among South African girls is three to four times higher than boys (Brown). (excerpt)
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.005 | 0.003 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.037 | 0.003 |
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".