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Record W3206159834 · doi:10.14367/kjhep.2021.38.4.1

Value and direction of Health Promotion in Korea: A content analysis of Health Plan 2020

2021· article· en· W3206159834 on OpenAlexaboutno aff
Jisun Kim, Sanggu Kang, Kwang Kee Kim, Seunghyun Yoo

Bibliographic record

VenueKorean Journal of Health Education and Promotion · 2021
Typearticle
Languageen
FieldHealth Professions
TopicHealth and Wellbeing Research
Canadian institutionsnot available
FundersMinistry of Science and ICT, South KoreaNational Research Foundation of Korea
KeywordsHealth promotionCharterPublic healthHealth policyPromotion (chess)Health educationPublic relationsSocial determinants of healthAction planHRHISValue (mathematics)Political scienceBusinessEnvironmental healthMedicineNursingEconomicsComputer scienceManagement

Abstract

fetched live from OpenAlex

Objectives: This study aimed to examine the value and direction of health promotion in South Korea as Health Plan 2020 proceeds to 2030. Methods: We conducted a full-text content analysis of Health Plan 2020 and its evaluation reports for the plans and implementation of health promotion programs in public health. We used the five strategies of the Bangkok Charter and the five action areas of the Ottawa Charter as the analytic framework. Results: South Korea’s health promotion projects in public health are still centered on individual behavior changes. Capacity building and personal skill development were common strategies employed by half of the 247 health promotion projects. Policy-level approaches were limited to the efforts in the health sector. The aforementioned tendencies were reflected in that “education” and “promotion” were the frequent terms in the Health Plans and their evaluation reports, while the terms “ecological” and “multilevel” did not appear as much. Conclusion: Health promotion in South Korea needs to reinforce multilevel approaches. Such attempts should aim to address the social determinants of health in cooperation with other sectors. The Ottawa Charter still offers valid and fundamental guidelines for planning and evaluating health promotion.

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)0.013
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.462
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0130.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.166
GPT teacher head0.479
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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations4
Published2021
Admission routes1
Has abstractyes

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