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Time, self and the medication day: a closer look at the everyday work of ‘adherence’

2009· article· en· W2100471939 on OpenAlexaff
Liza McCoy

Bibliographic record

VenueSociology of Health & Illness · 2009
Typearticle
Languageen
FieldMedicine
TopicHIV/AIDS Research and Interventions
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsAngerWork (physics)Context (archaeology)PillResistance (ecology)PsychologyHuman immunodeficiency virus (HIV)CognitionMedicineSocial psychologyPsychiatryNursingFamily medicine

Abstract

fetched live from OpenAlex

This article examines the everyday work of participating in pharmaceutical treatment for HIV infection in the context of urgent calls for adherence. Drawing on interviews and focus-group conversations with people taking antiretroviral drugs, the analysis explicates the work that goes into striving for adherence. What comes into view is a form of time work that brings about a temporary alignment between the inner experience of time, standard clock time, and the requirements of the medication schedule. Time work is largely cognitive; the pills, however, must actually be swallowed to complete the dose, occasioning, for some people, additional work to suppress or refashion emotional responses of anger and resistance. Both the time work and the emotional work of taking antiretroviral drugs draw people into forms of self work, including self-examination and self-adjustment, as they develop strategies for 'doing adherence'.

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)0.003
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.019

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0080.017
Scholarly communication0.0080.010
Open science0.0010.005
Research integrity0.0020.005
Insufficient payload (model declined to judge)0.0030.000

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 head0.019
GPT teacher head0.353
Teacher spread0.334 · 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 designQualitative
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

Citations88
Published2009
Admission routes1
Has abstractyes

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