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Record W4224248891 · doi:10.1016/j.eclinm.2022.101408

Pervasiveness, impact and implications of weight stigma

2022· review· en· W4224248891 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.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueEClinicalMedicine · 2022
Typereview
Languageen
FieldHealth Professions
TopicObesity and Health Practices
Canadian institutionsnot available
FundersJohnson and JohnsonNational Institute for Health and Care ResearchCanadian Medical AssociationPublic Health EnglandRosetrees TrustNovo Nordisk
KeywordsStigma (botany)MedicineWeight stigmaMental healthInclusion (mineral)PsychiatryEnvironmental healthPublic relationsGerontologySocial psychologyPsychologyPolitical scienceObesity

Abstract

fetched live from OpenAlex

Evidence has accumulated to demonstrate the pervasiveness, impact and implications of weight stigma. As such, there is a need for concerted efforts to address weight stigma and discrimination that is evident within, policy, healthcare, media, workplaces, and education. The continuation of weight stigma, which is known to have a negative impact on mental and physical health, threatens the societal values of equality, diversity, and inclusion. This health policy review provides an analysis of the research evidence highlighting the widespread nature of weight stigma, its impact on health policy and the need for action at a policy level. We propose short- and medium-term recommendations to address weight stigma and in doing so, highlight the need change across society to be part of efforts to end weight stigma and discrimination. Funding: None.

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)0.004
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesResearch integrity, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.944
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0030.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0240.000

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 head0.363
GPT teacher head0.632
Teacher spread0.269 · 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