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Record W38299705 · doi:10.1111/cars.12463

A BODY OF TEXT: PHYSICAL CULTURE AND THE MARKETING OF MOBILITY

2013· article· en· W38299705 on OpenAlexfundaboutno aff
Andrea Dale Lapin

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldSocial Sciences
TopicSocial and Cultural Dynamics
Canadian institutionsnot available
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsPhysical cultureContext (archaeology)Physical bodyIdeologyEugenicsArgument (complex analysis)Subject (documents)SociologyAestheticsPopular culturePsychologyMedia studiesHistoryEpistemologyMedicinePoliticsPolitical scienceArtLaw

Abstract

fetched live from OpenAlex

A robust body of research has documented the representational politics of news coverage in their depiction of HIV-positive people charged for HIV non-disclosure. News media representations of HIV-negative sex partners in cases of HIV non-disclosure have received far less scholarly attention. Adopting a social constructionist perspective, this article identifies how "victims" of HIV non-disclosure are constructed in news media. It is based on a dataset consisting of 341 news articles on HIV non-disclosure from 14 English Canadian newspapers across the political spectrum. Victims of HIV non-disclosure were constructed as: (1) suffering horribly, (2) morally pure and virtuous, (3) vengeful and (4) agentic and responsible for their situation. We consider how such constructions are enmeshed within arguments that establish or reject HIV non-disclosure as a social problem. We then discuss the ways these constructions and the assumptions upon which they are based reflect broader discussions on the severity of HIV, the responsibility for HIV risk and exposure, and the contestations over the very nature of the social problem of HIV non-disclosure. Constructions of victims that uphold HIV criminalisation have relied on assumptions of HIV as a deadly disease but de-emphasise personal responsibility for HIV risk. By contrast, constructions of victims that, in effect, oppose HIV criminalisation have tended to minimise the harms of HIV and invoke personal responsibility for HIV risk. We suggest that both proponents and opponents of HIV criminalisation engage in the "ideology of victimhood" and thus participate in and reinforce what Best (1997) termed, the "victim industry."

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.651
Threshold uncertainty score0.838

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 studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.006
GPT teacher head0.266
Teacher spread0.261 · 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.

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

Citations0
Published2013
Admission routes2
Has abstractyes

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