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Record W2905585652 · doi:10.1111/soc4.12651

Media, ‘Fat Panic’ and Public Pedagogy: Mapping Contested Terrain

2018· article· en· W2905585652 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.

Bibliographic record

VenueSociology Compass · 2018
Typearticle
Languageen
FieldHealth Professions
TopicObesity and Health Practices
Canadian institutionsUniversity of New Brunswick
FundersEuropean Commission
KeywordsMoral panicSalience (neuroscience)NewspaperSociologySocial mediaPublicsMedia studiesDigital mediaPublic relationsCriminologyPoliticsPolitical sciencePsychologyLaw

Abstract

fetched live from OpenAlex

Abstract Discourses regarding a ‘global obesity crisis’ and alternative frames (e.g. weight‐inclusive approaches to health) have proliferated through various media of communication. These media range from traditional print and visual formats (e.g. newspapers and television shows) to digital media (e.g. Twitter, Facebook, YouTube), which enable different publics to produce, and not just consume, text, images and other data relating to the body. Reflecting a sociological understanding of educational practices as extending beyond formal schooling, mediated obesity discourse and counter‐movements have also been conceptualised as public pedagogies, which instruct people how to relate to their own and other's bodies, health and subjectivities. This article examines what is critically known about various media at a time when governments and agencies are reinvigorating the global war on obesity, with populations being ‘advised’ to become and remain conscientious weight watchers. In conclusion, the article underscores the salience of social studies of the media when seeking to rethink obesity, incorporating critical reference to moral panic theory and the need to better understand what media can ‘do’ as enactments of public pedagogy.

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 categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.350
Threshold uncertainty score0.999

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 studies0.0020.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.002

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 head0.176
GPT teacher head0.483
Teacher spread0.307 · 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