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Record W2803203023

해상화학사고 대응을 위한 국내 교육훈련체계 개선에 관한 연구 국내 체계와 - 외국 체계의 비교를 기반으로 -

2017· article· ko· W2803203023 on OpenAlexaboutno aff
김광수, 이문진

Bibliographic record

Venue해양환경안전학회지 · 2017
Typearticle
Languageko
FieldEngineering
TopicMarine and Coastal Research
Canadian institutionsnot available
Fundersnot available
KeywordsCoast guardCurriculumTraining (meteorology)Government (linguistics)Political scienceBusinessGuard (computer science)Higher educationEconomic growthEnvironmental protectionGeographyEconomics
DOInot available

Abstract

fetched live from OpenAlex

The present situations of the education and training systems for the response to marine HNS spill incidents in domestic and foreign countries were reviewed and the plans to improve domestic system were suggested on the basis of the comparison between domestic and foreign education systems. There were almost no private education and training institutions in Korea, and they have not been activated, compared with those of foreign countries such as USA, Canada, Australia and UK. The domestic marine HNS-related education has been implemented uniformly under Korean government initiative. In addition, there were differences in the targets and duration of the education offered by Korea Coast Guard Academy (KCGA) and Marine Environment Research & Training Institute (MERTI) in Korea. Domestic HNS-related curriculum was relatively simple, compared with the curricula of foreign countries, and has not accepted two levels (operational level and manager level) required in HNS model courses of International Maritime Organization (IMO). The domestic education and training period was short relatively to those of foreign countries. The following suggestions were made to improve the education and training system for the response to domestic marine chemical incidents. In the short term, an HNS education and training management consultation body (tentative name) should be established, with both KCGA and MERTI participating jointly while maintaining the current system of the two institutions (KCGA and MERTI) simultaneously. In the more distant and long term, the HNS-related departments of KCGA and MERTI should be incorporated into a National Marine HNS Response Academy (tentative name) as unified system to enable international competitiveness.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.650
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0020.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0080.006

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 head0.029
GPT teacher head0.301
Teacher spread0.273 · 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
Published2017
Admission routes1
Has abstractyes

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