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Record W2908674172

A qualitative exploration of cardiovascular health and disease messages surrounding Canadian and U.S. campaigns through Facebook and Twitter

2018· dissertation· en· W2908674172 on OpenAlexaboutno aff
Christine A. Gonsalves

Bibliographic record

VenueLu Zone Ul (Laurentian University) · 2018
Typedissertation
Languageen
FieldSocial Sciences
TopicSocial Media in Health Education
Canadian institutionsnot available
Fundersnot available
KeywordsHealth promotionThematic analysisDiseaseNarrativeQualitative researchPsychologyMedicineSocial mediaGerontologySocial psychologyGender studiesSociologyPolitical scienceNursingPublic healthSocial sciencePathology
DOInot available

Abstract

fetched live from OpenAlex

Cardiovascular disease (CVD) is the leading cause of death and disability among Canadian and U.S. women. A majority of Canadian and U.S. women are unaware of their CVD risk profiles, symptoms of acute cardiac events, and take inadequate action to lower their risk. There is limited understanding regarding the meanings associated with Canadian and U.S. cardiovascular health campaign messages and user interactivity with these messages on social media. Filling in this knowledge gap contributes to understanding how women’s beliefs and behaviours are shaped by prevalent mass media forums, which construct certain portrayals of women’s disease, risk, and health-related identities. Within this doctoral dissertation, four studies were conducted in order to explore the media’s role in the social construction of CVD meanings. In the first study, a metasynthesis was conducted of primary research findings regarding qualitative analyses of mass media narratives surrounding women’s CVD in Canada and the U.S. Key findings included two critical, transcendental themes: 1) the medicalized culture of women’s CVD risk, and 2) the feminization of cardiovascular healthism. The second study was an ethnographic content analysis of the portrayals of women’s cardiovascular risk and health identities on Facebook page narratives of the Heart and Stroke Foundation of Canada (HSFC). An overarching theme of philanthropy as an act of women’s health promotion was identified and three sub-themes: 1) a culture of consumerism for women’s health promotion, 2) the cardiovascular systems of women as sites of fear and dependence, and 3) women’s CVD risk, acute events, and treatment as shared, community experiences. The third study used critical discourse analysis to explore the Facebook page of U.S. women’s cardiovascular health promotion agency Women’s Heart Alliance to investigate the discourses through which women’s CVD was portrayed, and the implications of these discourses on the construction of subject positions for related social agents. iv Women’s CVD was constructed within two central discourses: a discourse of achieving health equity and a discourse of healthism. These discourses intersected to construct the subject positions of altruistic fighters, health activists, and compliant patients and consumerists. The fourth study comprised a critical discourse analysis of the HSFC More Moments campaign meanings on Twitter for men and women. CVD risk was portrayed through a discourse of tragedy and loss, and a discourse of life and health, which constructed the subject positions of visionary leaders, selfless humanitarians, and successful survivors. Collectively, the findings of these four studies build upon understandings of the media’s nuanced contributions to gendered constructions of CVD meanings and risk.

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)0.008
metaresearch head score (Gemma)0.012
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.337
Threshold uncertainty score0.679

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.012
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.004
Science and technology studies0.0200.011
Scholarly communication0.0060.004
Open science0.0020.006
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0070.000

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 head0.096
GPT teacher head0.363
Teacher spread0.267 · 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 designQualitative
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

Citations0
Published2018
Admission routes1
Has abstractyes

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