Bibliographic record
Abstract
In Canada, queer men (or ‘men who have sex with men’) continue to be disproportionately affected by HIV/AIDS, representing at least 50% of all people living with HIV/AIDS (Public Health Agency of Canada, 2012). Every year, thousands of new infections significantly increase the toll that HIV/AIDS takes on queer men and their communities. With this epidemiological reality as context, I set out to explore how my subjectivity (as a gay, HIV-positive man) was and is shaped, specifically with respect to the following HIV/AIDS-related, socio-cultural phenomena: activism, community service, ‘safer’ sex, diagnosis and criminalization. These five phenomena provide focal points (or themes) for the presentation and analysis of my experience of living with HIV/AIDS, both before and after becoming infected. Through insider knowledge, my research examines three decades of personal stories, using critical reflexivity to increase my awareness (as well as my reader’s) of the myriad challenges and complexities of living one’s life in the midst of the ongoing pandemic.
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 | 0.005 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.019 | 0.016 |
| Scholarly communication | 0.008 | 0.004 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.003 | 0.008 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".