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Record W2952629374 · doi:10.3389/fpubh.2019.00153

Political Orientation and Public Attributions for the Causes and Solutions of Physical Inactivity in Canada: Implications for Policy Support

2019· article· en· W2952629374 on OpenAlexafffundabout
Lira Yun, Leigh M. Vanderloo, Tanya R. Berry, Amy E. Latimer‐Cheung, Norm O’Reilly, Ryan E. Rhodes, John C. Spence, Mark S. Tremblay, Guy Faulkner

Bibliographic record

VenueFrontiers in Public Health · 2019
Typearticle
Languageen
FieldPsychology
TopicBehavioral Health and Interventions
Canadian institutionsChildren's Hospital of Eastern OntarioUniversity of VictoriaUniversity of British ColumbiaUniversity of GuelphUniversity of AlbertaQueen's University
FundersCanadian Institutes of Health ResearchMitacsCanada Research ChairsPublic Health AgencyPublic Health Agency of Canada
KeywordsAttributionBiology and political orientationPoliticsSocial psychologyPublic policyOrientation (vector space)PsychologyMoral responsibilityPolitical scienceLaw

Abstract

fetched live from OpenAlex

Objectives: To examine how public attributions for the causes and solutions of physical inactivity and individuals’ self-identified political orientation are associated with support for different policy actions in addressing physical inactivity. Methods: A secondary data analysis was conducted with a sample of 2,044 Canadian adults. Two sets of 2 X 3 analyses of variance and post-hoc analyses were conducted to assess 1) the mean differences by the causes of the issue of physical inactivity (individual, or both internal and external/external) and political orientation (liberal, centrist, and conservative), and 2) responsibility for solutions (private matter, or both private and public health matter, and /public health matter) and political orientation on support for least, moderate, and most intrusive policy actions. Results: No interaction effects existed between causal attribution and political orientation on policy support, but a main effect of causal attributions for physical inactivity and political orientation was significant. Those who held internal attributions for the cause of physical inactivity showed less support for policies compared to those who held external causal attributions or both internal and external causal attributions. Conservative individuals reported the least support for all policy actions in comparison to liberal or centrist orientations. There were interaction effects between responsibility for solutions and political orientation on policy support. Conservative individuals who perceived the responsibility for solving physical inactivity as a private matter had less support for all three policy actions. Conclusions: Public acceptance of policy actions addressing physical inactivity varies by the attributions the public have regarding causes and responsibility for solving the problem, and by political orientation. Advocacy and messaging for policy implementation in the physical activity arena needs to be communicated in ways that encourage reflective and informed deliberation that is representative of the Canadian population.

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)0.003
metaresearch head score (Gemma)0.013
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.037
Threshold uncertainty score0.270

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.013
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.002
Science and technology studies0.0060.002
Scholarly communication0.0020.001
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0040.000

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 head0.117
GPT teacher head0.423
Teacher spread0.306 · 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 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

Citations30
Published2019
Admission routes3
Has abstractyes

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