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Record W2185245939 · doi:10.1111/1468-0009.12162

Potential Policies and Laws to Prohibit Weight Discrimination: Public Views from 4 Countries

2015· article· en· W2185245939 on OpenAlex
Rebecca M. Puhl, Janet D. Latner, Kerry O’Brien, Joerg Luedicke, Sigrún Daníelsdóttir, Ximena Ramos Salas

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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueMilbank Quarterly · 2015
Typearticle
Languageen
FieldHealth Professions
TopicObesity and Health Practices
Canadian institutionsCanadian Obesity Network
FundersUniversity of ConnecticutRudd Foundation
KeywordsLegislationStatuteOverweightGovernment (linguistics)Political scienceLawEmployment discriminationObesityPublic policyBusinessMedicine

Abstract

fetched live from OpenAlex

Policy Points : Policies and legal protections against weight‐based discrimination have broad public support in 4 nations where this discrimination is widely documented. Public support was strongest for policies and laws that would prohibit employers from denying employment, assigning lower wages, and refusing promotion to people based on their weight status. Women and individuals with higher weight expressed the greatest support. Weight discrimination is common in numerous life settings, creating social and economic inequities and adverse health outcomes. Policies and legal measures protecting against such discrimination need to be developed and implemented in the United States and elsewhere and would have considerable public support. Context People viewed as “overweight” or “obese” are vulnerable to weight‐based discrimination, creating inequities and adverse health outcomes. Given the high rates of obesity recorded globally, studies documenting weight discrimination in multiple countries, and an absence of legislation to address this form of discrimination, research examining policy remedies across different countries is needed. Our study provides the first multinational examination of public support for policies and legislation to prohibit weight discrimination. Methods Identical online surveys were completed by 2,866 adults in the United States, Canada, Australia, and Iceland. We assessed public support for potential laws to prohibit weight‐based discrimination, such as adding body weight to existing civil rights statutes, extending disability protections to persons with obesity, and instituting legal measures to prohibit employers from discriminating against employees because of body weight. We examined sociodemographic and weight‐related characteristics predicting support for antidiscrimination policies, and the differences in these patterns across countries. Findings The majority of participants in the United States, Canada, and Australia agreed that their government should have specific laws in place to prohibit weight discrimination. At least two‐thirds of the participants in all 4 countries expressed support for policies that would make it illegal for employers to refuse to hire, assign lower wages, deny promotions, or terminate qualified employees because of body weight. Women and participants with higher body weight expressed more support for antidiscrimination measures. Beliefs about the causes of obesity were also related to support for these laws. Conclusions Public support for legal measures to prohibit weight discrimination can be found in the United States, Canada, Australia, and Iceland, especially for laws to remedy this discrimination in employment. Our findings provide important information for policymakers and interest groups both nationally and internationally and can help guide discussions about policy priorities to reduce inequities resulting from weight discrimination.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.340
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.003

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 head0.107
GPT teacher head0.422
Teacher spread0.315 · 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