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Record W2468230294

신체활동관련 청소년 금연정책 방향

2016· article· ko· W2468230294 on OpenAlexaboutno aff
오화정, 허정훈, 김상범

Bibliographic record

Venue한국체육과학회지 · 2016
Typearticle
Languageko
FieldMedicine
TopicDiverse Approaches in Healthcare and Education Studies
Canadian institutionsnot available
Fundersnot available
KeywordsGovernment (linguistics)RecreationPhysical activitySmokeTobacco controlSmoking preventionEnvironmental healthOrder (exchange)Smoking cessationPolitical sciencePublic policyAdvertisingBusinessPsychologyMedicinePublic healthGeographyLawNursingPhysical therapy
DOInot available

Abstract

fetched live from OpenAlex

The purpose of this study was to examine domestic and foreign smoking related policies and physical activity related smoke-free policies to find ways to improve adolescent smoking related policy and to help decrease in smoking rates. For this study, adolescent smoking related policies in Sweden, the United States, Canada, the United Kingdom, and Korea were examined through literary investigation. The results revealed the following: First, government should enact laws to eradicate tobacco marketing in sports activities and events. Second, Everyone taking part in a sport or recreational activity do not smoke and keep smoke-free environments while participating in the activity. Third, the proportion of adolescents who participate in extracurricular and out of school activities should increase. Third, for smoking prevention education, it is necessary to hold a variety of smoking related sports events. Last, there is a need to develop smoking prevention and cessation programs to match age levels. In conclusion, in order to protect young people from smoking and to reduce smoking rates we need policy support.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.444
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.007

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 head0.130
GPT teacher head0.368
Teacher spread0.238 · 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 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

Citations0
Published2016
Admission routes1
Has abstractyes

Explore more

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