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Record W2144679938 · doi:10.1093/heapro/15.4.321

Representations of preconditions for and determinants of health in the Dutch press

2000· article· en· W2144679938 on OpenAlexaboutno aff
Matt Commers

Bibliographic record

VenueHealth Promotion International · 2000
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicGlobal Public Health Policies and Epidemiology
Canadian institutionsnot available
Fundersnot available
KeywordsHealth promotionCharterPublic healthNewspaperPublic relationsPopulationTheme (computing)MedicineSociologyPolitical scienceLawEnvironmental healthNursing

Abstract

fetched live from OpenAlex

As a mass medium which provides information to the public about both the determinants of health and the conditioning of those determinants through professional or civic means, the press is an important object of study for health promoters, who regularly seek to build upon and influence public understandings regarding the etiology of health. This article investigates whether the factors which the Dutch press portray as determining or allowing for health are congruent with the central tenets of health promotion as these are detailed in the WHO's 1986 Ottawa Charter for Health Promotion and 1997 Jakarta Declaration. A content analysis was conducted on 600 randomly selected health-related articles appearing in the five Dutch newspapers with the largest average daily circulation over 8 weeks. Two coders ascribed values to each of the 600 articles for seven content variables, including determinant theme of article, authority identifying determinant theme, means and agent of determinant conditioning, breadth of population affected, and mediating populational attributes. Two form variables, text and graphic area, were also assessed by the coders. Findings indicate that though there are some reasons to be encouraged, representations of the determinants of health in the Dutch press are largely incompatible with the etiological assumptions of health promotion. Health promoters, it is asserted, must continue to engage the press in order to take advantage of opportunities and gaps in health etiological coverage.

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)0.021
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 score0.017
Threshold uncertainty score0.033

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.021
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0040.004
Science and technology studies0.0010.003
Scholarly communication0.0070.004
Open science0.0000.001
Research integrity0.0000.001
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 head0.101
GPT teacher head0.422
Teacher spread0.321 · 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

Citations17
Published2000
Admission routes1
Has abstractyes

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