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Record W1908567493

건강증진 연구의 방향과 과제

2012· article· ko· W1908567493 on OpenAlexaboutno aff
김광기, 제갈정, 함승우, 안지영

Bibliographic record

Venue보건교육·건강증진학회지 · 2012
Typearticle
Languageko
FieldHealth Professions
TopicHealth and Wellbeing Research
Canadian institutionsnot available
Fundersnot available
KeywordsHealth promotionPromotion (chess)Public relationsPopulationCharterPublic healthPolitical sciencePsychologyMedical educationMedicineEnvironmental healthNursing
DOInot available

Abstract

fetched live from OpenAlex

Objective: This paper aims to describe health promotion (HP) research according to HP activities, strategies, target population, and settings, and to explore challenges for HP to reflect principles and values. Methods: A content analysis was employed for all research reports funded by the Korea Health Promotion Foundation from 2005 to 2011. Content analysis was conducted according to the HP activities and strategies as mentioned in the Ottawa Charter, and by target population and setting. Challenges for HP research were explored by priority actions suggested by the International Union for Health Promotion and Education. Results: The total number of research was 384. The most popular topic was on HP actions for reorienting health services, followed by developing personal skills, creating supportive environments, building healthy public policy, and strengthening community actions. Research focusing on enabling strategies was most dominant among the HP strategies, while both advocating and mediating strategies were unlikely to be studied. An even distribution was found across target populations. The most popular setting was communities, followed by workplaces and schools. Conclusion: HP research tends to be anchored on bio-medical, individualized, and behavioral perspectives. A discussion was made to overcome this tendency by employing HP in social sciences theory and methods.

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)0.007
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesResearch integrity, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.344
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0030.000
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0010.004
Insufficient payload (model declined to judge)0.0160.072

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 head0.126
GPT teacher head0.520
Teacher spread0.394 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
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

Citations0
Published2012
Admission routes1
Has abstractyes

Explore more

Same venue보건교육·건강증진학회지Same topicHealth and Wellbeing ResearchFrench-language works237,207