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Record W2954365805 · doi:10.22230/cjc.2019v44n2a3402

Envisioning a Habitus of Hygiene: Hands as Disease Media in Public Health Handwashing Campaigns

2019· article· en· W2954365805 on OpenAlexaffvenueabout
Sheryl N. Hamilton

Bibliographic record

VenueCanadian Journal of Communication · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicParticipatory Visual Research Methods
Canadian institutionsCarleton University
Fundersnot available
KeywordsHabitusEtiquetteEmbodied cognitionArticulation (sociology)HygienePublic healthPublic relationsSociologyMedicinePolitical scienceNursingSocial scienceComputer science

Abstract

fetched live from OpenAlex

Background Public health posters exhorting viewers to wash their hands to prevent the spread of communicable disease are common in airports, shopping malls, hospitals, and workplaces. Yet the poster remains understudied by scholars working in communication, health, and governance. Analysis Analyzing a large corpus of Canadian public health posters targeting handwashing, this article identifies three themes: the articulation of an embodied pedagogy aimed at daily practices; the recognition of our body surfaces and those of people and things around us as contaminated skins; and the production of haptic visuality. Conclusion and implications These posters promote a habitus of hygiene, inviting us to modify our haptic etiquette, to see, know, and inhabit our bodies differently, and to imagine and interact with our environment on new terms.

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)0.008
metaresearch head score (Gemma)0.012
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 score0.095
Threshold uncertainty score0.189

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.012
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.002
Science and technology studies0.0090.033
Scholarly communication0.0130.006
Open science0.0010.009
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0060.000

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 head0.450
GPT teacher head0.557
Teacher spread0.107 · 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

Citations8
Published2019
Admission routes3
Has abstractyes

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