Bibliographic record
Abstract
The principal aim of the Teaching the Sociology of HIV/AIDS: Syllabi, Lectures, and Other Materials is to provide a reference of up-to-date information about how sociologists are teaching about HIV/AIDS for those interested in developing courses or modules on HIV/AIDS and for those already teaching HIV-related material who wish to explore different pedagogical ideas or approaches. There are thirteen syllabi for courses on the topic of HIV/AIDS. The syllabi vary in their approaches. Some focus on the socio-historical and contextual themes to organizing the study of the epidemic, while others take a more topical approach, highlighting both traditional epidemiological topics as well as many emerging issues regarding the experiences of those infected and/or affected by HIV/AIDS. There are also ten lectures (complete with references for instructors and students and hard copies of materials for overheads). Teaching ideas, tips and challenges are offered through the inclusion of workshop handouts from the ASA 2004 Teaching the Sociology of AIDS Workshop. The teaching resources provided include a 75-Question HIV Lesson, an updated and annotated list of documentary and feature films dealing with the topic. In addition, an annotated resource directory of well-established HIV/AIDS internet sites is also included. Intended to help instructors and students access this type of information, these websites listed are as a means of staying abreast in new developments.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.006 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 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".