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Record W2103913216 · doi:10.7202/017358ar

Prisons, sida et divulgation de renseignements médicaux. Analyse juridique et éthique

2005· article· en· W2103913216 on OpenAlexvenueno aff
Ralf Jürgens, Norbert Gilmore

Bibliographic record

VenueCriminologie · 2005
Typearticle
Languageen
FieldMedicine
TopicEthics in Clinical Research
Canadian institutionsnot available
Fundersnot available
KeywordsConfidentialityHuman immunodeficiency virus (HIV)Medical informationPersonally identifiable informationInformed consentPsychologyPolitical scienceMedicineLawFamily medicine

Abstract

fetched live from OpenAlex

The article addresses some of the issues raised in federal correctional institutions by the generation and communication of personal medical information pertaining the HIV infection. It examines, first, whether medical information pertaining to federal inmates — information considered confidential between medical staff and an inmate — can be disclosed absent the inmate's consent. It then examines what conditions or criteria determine whether or not such disclosure is ethically and legally justifiable, and if disclosure is justified, what conditions apply to its disclosure. Finally, specific situations in which a claim for disclosure may arise are examined. The article concludes that in federal correctional institutions, the disclosure of personal medical information absent consent of the person is seldom justifiable. In most situations, such disclosure is unnecessary and even appears to be counterproductive or harmful. Measures that can be undertaken to prevent exposure to and infection with HIV have to be undertaken regardless of whether an inmate or staff member is or is not known, to staff, wardens, or inmates, to be infected with HIV.

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)0.005
metaresearch head score (Gemma)0.015
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.035
Threshold uncertainty score0.070

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.015
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.005
Scholarly communication0.0030.001
Open science0.0000.002
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0040.000

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 head0.748
GPT teacher head0.614
Teacher spread0.134 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
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

Citations1
Published2005
Admission routes1
Has abstractyes

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