Canada supports agency criticised as an “AIDS denier”
Bibliographic record
Abstract
A Canadian agency that has been supported financially by the Canadian government has come under strong criticism for being an “AIDS denier.” The agency carries claims on its website that HIV is neither necessary nor sufficient to cause AIDS and that the number of AIDS cases worldwide has been manipulated and is really decreasing rather than increasing. The views on the website of InterPares (www.interpares.ca), a non-governmental agency, run counter to those stated on the Canadian federal health department's own website (www.hc-sc.gc.ca). InterPares describes itself as supporting “social justice work” in more than 20 countries in Africa, Asia, and Latin America. In 2002, it received $C5m (£2.2m; $3.8m; €;3.2m) from the Canadian International Development Agency (CIDA). Dr Mark Wainberg, director of the AIDS Centre at McGill University, Montreal, and formerly president of the International AIDS Society, …
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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 | 0.008 | 0.030 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.027 | 0.010 |
| Scholarly communication | 0.012 | 0.004 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.012 | 0.019 |
| Insufficient payload (model declined to judge) | 0.029 | 0.004 |
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".