MétaCan
Menu
Back to cohort
Record W2110103260 · doi:10.1186/1742-4690-5-108

HIV transmission should be decriminalized: HIV prevention programs depend on it

2008· article· en· W2110103260 on OpenAlexafffundabout
Mark A. Wainberg

Bibliographic record

VenueRetrovirology · 2008
Typearticle
Languageen
FieldSocial Sciences
TopicSex work and related issues
Canadian institutionsJewish General Hospital
FundersCanadian Institutes of Health Research
KeywordsSuspectBattleMedicineCriminologyHuman immunodeficiency virus (HIV)Transmission (telecommunications)CondomAction (physics)Criminal justiceLawPsychiatryFamily medicineSyphilisPsychologyPolitical scienceHistory

Abstract

fetched live from OpenAlex

Whenever there is a sensational criminal case involving HIV transmission, the media cover it with far more gusto than they usually devote to scientific advances in the field. For example, a murder trial is now taking place in Canada involving a man who has been accused of sexually transmitting HIV to 11 different women, two of whom have died of their infections. Moreover, it is alleged that the accused perpetrator deliberately withheld from these women the fact that he was HIV-positive and that he refused to use a condom during intercourse. Notwithstanding that the suspect is possibly psychopathic and uncaring, or possibly of low intelligence and unable to assess the consequence of his actions, most people probably hope that he is convicted, sentenced, and imprisoned for his acts. Furthermore, most people probably wish for the criminal justice system to pursue these cases with vigour. In fact, however, people should understand that such legal action, and the willingness of the courts to hear these cases, will only weaken the global battle against HIV transmission.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.824
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.087
GPT teacher head0.351
Teacher spread0.265 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations11
Published2008
Admission routes3
Has abstractyes

Explore more

Same venueRetrovirologySame topicSex work and related issuesFrench-language works237,207