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The Domestication of Health Care: Health Advice to Canadian Mothers 1993–2008 in <i>Today's Parent</i>

2010· article· en· W2145143651 on OpenAlexaffabout
Juanne N. Clarke

Bibliographic record

VenueFamily Relations · 2010
Typearticle
Languageen
FieldHealth Professions
TopicChild and Adolescent Health
Canadian institutionsWilfrid Laurier University
Fundersnot available
KeywordsQualitative researchHealth carePsychologyContent analysisMass mediaMedical adviceAdvice (programming)NursingMedicineFamily medicineSociologyPolitical scienceSocial scienceLaw

Abstract

fetched live from OpenAlex

The purpose of this article was to describe and analyze the ways that parents' and children's health are portrayed in health advice to parents in Canada's major mass print media magazine entitled Today's Parent, from 1993 to 2008. The qualitative content analysis noted three significant themes, including: most health issues are easily managed by mothers using common sense at home; mothers are responsible, healthy, energetic, and capable managers and experts who are able to work and advocate for their children's health; and mothers are able to critically assess doctors and medical care. Finally, anomalous stories are highlighted and some of the underlying assumptions of the stories are discussed. The substantive and practical consequences of these findings regarding parental health beliefs and actions are discussed.

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)0.002
metaresearch head score (Gemma)0.010
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 score0.067
Threshold uncertainty score0.349

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.010
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0160.005
Scholarly communication0.0030.001
Open science0.0010.003
Research integrity0.0010.003
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 head0.027
GPT teacher head0.373
Teacher spread0.347 · 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

Citations12
Published2010
Admission routes2
Has abstractyes

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