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Record W2931245319 · doi:10.1177/0038026119842009

Counteracting shame, recognizing desire: Managing the emotional reverberations of criminalizing HIV nondisclosure in Canada

2019· article· en· W2931245319 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueThe Sociological Review · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicSex work and related issues
Canadian institutionsUniversity of Ottawa
FundersCanadian Institutes of Health Research
KeywordsCriminalizationPunitive damagesShameCriminologyHuman immunodeficiency virus (HIV)SociologyNarrativeEmotional laborSocial psychologyGender studiesPsychologyLawPolitical scienceMedicine

Abstract

fetched live from OpenAlex

This article considers how emotions shape law through specific consideration of the criminalization of HIV nondisclosure in Canada. As the majority of these cases involve heterosexual sex, we argue that Canada’s aggressive prosecution is partially driven by carceral feminist attitudes toward protecting women’s sexual purity. We contend that emotions structure punitive mentalities in ways that contribute to the expansion of carceral culture into new sites of surveillance, in this case the field of public health and the HIV/AIDS frontline service sector. Drawing on qualitative interviews conducted with frontline workers in AIDS Service Organizations (ASOs) across Canada, we explore the emotionally laden nature of disclosure for people living with HIV and those who counsel them. Emotions shape the narrative arc of disclosure and counselling practices, commanding significant emotional labour.

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.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.373
Threshold uncertainty score0.969

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.053
GPT teacher head0.330
Teacher spread0.277 · 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