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Health Promotion Health Center Project

2007· article· en· W2131391830 on OpenAlexaboutno aff
Tae Wha Lee, Chung Yul Lee, Hee Soon Kim, Ok Kyung Ham

Bibliographic record

VenuePublic Health Nursing · 2007
Typearticle
Languageen
FieldHealth Professions
TopicHealth and Wellbeing Research
Canadian institutionsnot available
Fundersnot available
KeywordsHealth promotionCharterMedicinePublic healthNursingPromotion (chess)Government (linguistics)Health policyEnvironmental healthGerontologyPolitical science

Abstract

fetched live from OpenAlex

OBJECTIVES: As part of a major government support for health promotion, a health promotion health center (HPHC) project was launched at the national level in Korea. The purpose of the study was to describe this 2-year HPHC project within the framework of the Ottawa Charter for Health Promotion and to evaluate the preliminary outcomes of the community residents. DESIGN: A cross-sectional design was used. SAMPLE: A total of 2,261 community residents participated in the survey, with 792 in HPHC sites and 1,469 in non-HPHC sites. MEASUREMENT: The instrument included questions on participants' demographic characteristics, awareness, participation, health behavior (smoking, exercise, meat consumption, and blood pressure checkup), and satisfaction with the health promotion programs. RESULTS: The 5 main health promotion strategies of the Ottawa Charter were evident in the HPHCs. HPHCs were successful in enhancing awareness, participation, and satisfaction through their health promotion programs, although health behaviors were not significantly different between the 2 groups, except exercise. CONCLUSION: Ottawa Charter strategies embedded within the practice of the community health promotion activities were effective in increasing the short-term outcomes (awareness, participation, and satisfaction with health promotion programs), which is a promising finding for the development of health promotion behaviors in the future.

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)0.036
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Science and technology studies, Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.848
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0360.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0060.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.003
Insufficient payload (model declined to judge)0.0000.001

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 head0.239
GPT teacher head0.565
Teacher spread0.326 · 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 designNot applicable
Domainnot available
GenreCommentary

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
Published2007
Admission routes1
Has abstractyes

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