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Record W4403058192 · doi:10.32920/27156444

Reports on boys’, youth’s and men’s health in Canadian newspapers: Now what?

2024· preprint· en· W4403058192 on OpenAlexaboutno aff
Margareth Santos Zanchetta, Aaron Byam, Donna Solomon, Katayoon Jalili, Carlos Haag, Silvia Tallarico

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldSocial Sciences
TopicClimate Change Communication and Perception
Canadian institutionsnot available
Fundersnot available
KeywordsNewspaperPsychologyPolitical scienceAdvertisingMedia studiesSociologyBusiness

Abstract

fetched live from OpenAlex

<p><strong>Background:</strong> This media content analysis explored the Canadian newspapers reporting on men's health, and their contribution to public understanding of the social determinants of men’s health and lifestyles.</p> <p><strong>Methods:</strong> A media content analysis of 44 news articles on boys’, youth’s and men’s health,published from 2010 to 2014 by three national newspapers (The Globe and Mail, National Post,and Metro News).</p> <p><strong>Results:</strong> Data indicated that the predominant discourse consists of informative and awareness messages, mostly about men’s prostate and sexual health. Very little health news content referred to working conditions, education and income, all of which are significant social determinants of health (SDH). This may reflect the current state of health research, which does not adequately incorporate the effects of these determinants. It may also indicate a reproduction of dominant health knowledge and understanding of masculinity. Little content was found on policy solutions to other publicized health issues, such as limited access to health services or inter-sectoral collaborations; this reflects a lack of government action and a lack of citizen engagement toward the creation of a concerted men’s health policy.</p> <p><strong>Conclusion:</strong> Despite the acknowledged importance of the media in promoting access to health information and indirectly contributing to improve the general public’s level of health literacy, it is also necessary to remember that there must be a greater attention to the structural constraints imposed by socioeconomic inequalities. Future studies should explore media discourses about men’s unequal access to health care services and citizens’ awareness of ways to overcome those inequalities shortcomings.</p>

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)0.002
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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.799
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.386
GPT teacher head0.461
Teacher spread0.075 · 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 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
Published2024
Admission routes1
Has abstractyes

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