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Newspaper portrayals of health and illness among Canadian seniors : Who ages healthily and at what cost?

2006· article· en· W2131044250 on OpenAlexaffabout
Julia Rozanova

Bibliographic record

VenueInternational Journal of Ageing and Later Life · 2006
Typearticle
Languageen
FieldPsychology
TopicAging and Gerontology Research
Canadian institutionsUniversity of Alberta
FundersFondation pour la Recherche Médicale
KeywordsNewspaperGlobeSociology of health and illnessThematic analysisInequalityPopulation ageingPopulationPsychologyGerontologySociologyPolitical scienceMedicineHealth careEnvironmental healthMedia studiesQualitative researchSocial science

Abstract

fetched live from OpenAlex

While media representations of health and illness receive growing attention from researchers, few studies have considered the newspaper portrayals of health and illness among the elderly. Yet, print media are one vehicle through which governments, in a climate of concern about population aging and the sustainability of the social safety net, emphasize individual responsibility for health and well-being in later life. By praising healthy aging, the media may, perhaps inadvertently, perpetuate new ageist stereotypes that marginalize vulnerable adults who fail to age healthily, and downplay the role of social institutions and structural inequalities (particularly gender and socio-economic status) in influencing individuals’ personal resources and lifestyle choices. This paper explores whether, and if so, how the media represent interrelations between health and aging, through thematic analysis of a pool of articles about seniors published in The Globe and Mail in 2005.

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)0.001
metaresearch head score (Gemma)0.007
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 score0.195
Threshold uncertainty score0.392

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0060.008
Science and technology studies0.0050.002
Scholarly communication0.0030.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.019
GPT teacher head0.332
Teacher spread0.313 · 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

Citations44
Published2006
Admission routes2
Has abstractyes

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