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Record W3161525387

내분비계 장애물질에 대한 예비유아교사들의 인식, 노출 저감화 행동 및 교육적 요구에 관한 연구

2020· article· ko· W3161525387 on OpenAlexvenueno aff
권재희, 박은선

Bibliographic record

VenueEarly childhood education · 2020
Typearticle
Languageko
FieldEngineering
TopicMilitary Technology and Strategies
Canadian institutionsnot available
Fundersnot available
KeywordsEnvironmental science
DOInot available

Abstract

fetched live from OpenAlex

본 연구는 내분비계 장애물질에 대한 예비유아교사의 인식, 노출 저감화 행동 및 교육 요구 수준을 알아보기 위한 목적으로 수행되었다. 이를 위해 경기도에 소재한 유아교육과에 재학 중인 예비유아교사 222명을 대상으로 설문을 실시하였다. 본 연구결과, 내분비계 장애물질에 대한 예비유아교사의 인식 수준은 대체로 높은 편이였으며, 내분비계 장애물질로 인한 부정적 영향에 대해서도 알고 있는 것으로 나타났다. 이에 비해 예비유아교사들의 환경호르몬 노출 저감화를 위한 행동 수준은 높지 않은것으로 나타났으며, 예비교사들이 이수한 건강교육 수업이 내분비계 장애물질에 대한 인식과 저감화 행동에 영향을 미치지 않는 것으로 나타났다. 예비유아교사들의 환경호르몬에 대한 교육 필요성은 높은 편이었고, ''환경호르몬의 영향'', ''유아에게 미치는 환경호르몬의 피해를 예방하는 방법'' 순으로 교육내용 요구도가 높았다. 이와 같은 결과를 바탕으로 본 연구에서는 유아교육 프로그램에서의 내분비계 장애물질에 관한 교육 방향에 대해서 논의하였다.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.011
Threshold uncertainty score0.039

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0040.022
Scholarly communication0.0110.008
Open science0.0010.002
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0100.002

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 head0.007
GPT teacher head0.205
Teacher spread0.198 · 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 source (direct Gemma or distilled Codex), 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

Citations0
Published2020
Admission routes1
Has abstractyes

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