03 / POVERTY, DEPRESSION, AND RESILIENCE AS JOINT PREDICTORS OF CONDOM USE SELF-EFFICACY AMONG NORTHERN AND INDIGENOUS YOUTH IN CANADA
Bibliographic record
Abstract
Background: Over the years, there has been growing evidence of continuously narrowing gender gap in new HIV infections in India, despite stagnation in the overall HIV prevalence. One of the reasons behind the exiting pattern in HIV/AIDS in the country is the poor status of women, lack of control over sexuality and poor reproductive & sexual rights. This paper analyses the inequalities in womenu2019s empowerment their HIV vulnerability and prevalence of HIV in India. Methods: The data has been taken from two rounds of National Family Health Survey (NFHS), 2005-2006 & 2015-2016 for women age 15-49. The information on different dimensions of womenu2019s empowerment has been used and inequalities computed by using Liebersonu2019s Diversity Index. However, their risk and vulnerability to HIV has been analyzed using descriptive statistical methods.Results: Result portrays a large disparity in womenu2019s empowerment, which has emerged as the function of size of states. HIV prevalence among women has not been changed over the last decade (0.22 % to 0.23%) despite of decreased adult HIV prevalence from 0.28% in 2005-06 to 0.24 % in 2015-16. Risk of HIV among widowed women has increased from 1.51 % to 1.99 %. Women having control over own sexuality major in terms of their potential to refuse sex with their husband under certain condition is less likely to have HIV infection. On the other hand women whose husband has intense marital control behavior also portrays declining prevalence of HIV thus womenu2019s important and risk of HIV has a mix relationship.Conclusions: A combative relationship has been established between empowerment of women and their risk of HIV/AIDS. Results have been consistently showing the variations of inequality in womenu2019s empowerment across different states consequently affecting the risk of HIV/AIDS. Insuring sexual rights of women should be best strategy.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".