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Record W7099329157

Background

2016· article· en· W7099329157 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldArts and Humanities
TopicLibraries and Information Services
Canadian institutionsnot available
Fundersnot available
KeywordsPublic healthHuman immunodeficiency virus (HIV)GirlIdentity (music)Occupational safety and healthHealth education
DOInot available

Abstract

fetched live from OpenAlex

In late 2011, Alberta experienced a high-profile incident involving a female youth who was thought to be Human Immunodeficiency Virus (HIV)-positive and engaging in risk activities that could spread HIV. The individual was allegedly risking public health by engaging in unprotected sex with multiple partners without informing them of her HIV status. Her name and unconfirmed health status were released by police services to the media in order to apprehend the individual and to protect the public. The young woman was arrested and was charged with two counts of aggravated sexual assault but was later given a conditional discharge. The decision to disclose the identity and health status of an underage individual was not supported by the public health community since the girl was a minor and her identity and health status should not have been publicly disclosed. Alberta Health Services (AHS) Public Health Division was engaged late in the management of this situation. Alberta Health was never informed or involved in the management of this situation as it evolved. This case, and other similar cases, highlights the need to better address the collaborative management of clients who risk the spread of HIV in Alberta. Alberta Health realizes the importance of improving the client management process for those who cannot manage their

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation 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: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.902
Threshold uncertainty score0.000

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0050.001
Scholarly communication0.0030.001
Open science0.0020.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0980.017

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 head0.054
GPT teacher head0.210
Teacher spread0.157 · 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 source (direct Gemma or distilled Codex), not a consensus.

Study designNot applicable
Domainnot available
GenreOther

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

Citations0
Published2016
Admission routes1
Has abstractyes

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