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Record W2148387784 · doi:10.48336/ijoaqt8541

Fat is a Social Work Issue: Fat Bodies, Moral Regulation, and the History of Social Work

2012· article· en· W2148387784 on OpenAlexaboutno aff
May Friedman

Bibliographic record

VenueThe Journal of Macrodynamic Analysis (Memorial University of Newfoundland) · 2012
Typearticle
Languageen
FieldHealth Professions
TopicObesity and Health Practices
Canadian institutionsnot available
Fundersnot available
KeywordsScholarshipMoral panicOppressionSociologyCredenceSocial philosophySocial psychologySocial sciencePolitical scienceCriminologyPoliticsPsychologySocial relationLaw

Abstract

fetched live from OpenAlex

Fat bodies are discriminated against in a variety of individual and structural ways. On an individual level, the experiences of fat stigma are debilitating. On a societal level, the “war on obesity” is a focal point for social policy in both Canada and the United States. Social work, as a profession that considers individual experiences and contextualizes these experiences within systems and structures, must thus consider the implications of bodies that are perceived as deviant on the basis of size. Yet there is a dearth of scholarship that positions fat stigma and the size acceptance movement as allied with other realms of activist social work. This article addresses this omission by considering the need for an incorporation of size acceptance and fat activism into social work scholarship and practice. This is accomplished through three main themes. First, I consider the nature of fat oppression and the need for antioppressive social work practitioners and scholars to give credence to the real implications of fat. Second, I examine the rhetoric of the “obesity epidemic” and consider why social workers need to be critical of social policies that stem from this discourse. Finally, I suggest that the tones of social control and moral panic that underpin much of the discourse around fat bodies are reminiscent of other concerning trends within the history of the social work profession.

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)0.004
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.439
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0020.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.034
GPT teacher head0.315
Teacher spread0.281 · 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.

Study designObservational
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

Citations19
Published2012
Admission routes1
Has abstractyes

Explore more

Same venueThe Journal of Macrodynamic Analysis (Memorial University of Newfoundland)Same topicObesity and Health PracticesFrench-language works237,207