Bibliographic record
Abstract
HEALTH ISSUE: The epidemic of human immunodeficiency virus (HIV) and acquired immunodeficiency syndrome (AIDS) in developed countries has changed from the early epidemic that affected primarily men who have sex with men, to one that increasingly affects other groups such as injecting drug users (IDU) and heterosexuals. As a result, the number and percentage of women with HIV and AIDS is increasing. KEY FINDINGS: The number of women in Canada living with HIV, including those with AIDS, has increased over time. An estimated 6,800 women were living with HIV at the end of 1999, an increase of 48.0 % from the 1996 estimate of 4,600. On an annual basis, women account for a growing proportion of positive HIV test reports among adults in Canada. This proportion increased from 10.7% in the period 1985-95 to 25% in 2001. Heterosexual contact is the main risk factor for HIV infection in women, accounting for 63% of newly diagnosed cases of HIV infection in adult Canadian women in 2001; the majority of the remainder is due to IDU. KEY DATA GAPS AND RECOMMENDATIONS: Research is needed to address specific information gaps regarding risk behaviours, testing patterns and HIV incidence and prevalence in women. This research needs to include the broader contextual factors that influence women's lives and their risk of HIV infection. Programmes and prevention efforts must be gender and age-specific and should target not only individual behaviours, but also the social and cultural context in which these behaviours occur.
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 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.004 | 0.005 |
| Insufficient payload (model declined to judge) | 0.059 | 0.008 |
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".