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Record W3004721839

[논문]2015년 메르스 사태 이후 신축된 종합병원 병동부의 공간구성 특징 및 입원실 세부시설기준에 관한 연구

2019· article· ko· W3004721839 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

Venue의료·복지 건축(구 한국의료복지시설학회지) · 2019
Typearticle
Languageko
FieldArts and Humanities
TopicCultural and Historical Studies
Canadian institutionsnot available
Fundersnot available
KeywordsBedroomComposition (language)MedicineMedical emergencyGeographyEnvironmental healthArchaeology
DOInot available

Abstract

fetched live from OpenAlex

Purpose: This study is to address the spacial composition of a standard ward and bedroom size for sake of infection control and efficient medical service. Methods: Spacial composition of a standard ward has been proposed by comparative analysis of 5 big hospitals' wards. Bedroom sizes have been explored on the ground of Health care facility regulations from Korea, USA, Australia and Canada. Of course, Literature and field survey have been conducted in order to draw out various bedroom sizes. Results: 16 basic and some other additional spaces have been proposed for the composition of hospital standard ward. Area of Single bedroom is 11.6㎡, and that of multi-beded room is 7.4㎡. Bed to bed Clearance is 1.5m, spacing between bedsize and hard wall is 0.9m in 1~2 beded room, 0.75m in 4-beded room. Space clearance between Foot side of bed and curtain is proposed as 0.3m and additional 0.9m is necessary for the circulation. Implications: The result of this study can be applied to the new cons.

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.

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 categoriesMeta-epidemiology (narrow), Science and technology studies, 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: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.309
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.000
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0270.025

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 head0.040
GPT teacher head0.202
Teacher spread0.163 · 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