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Record W2292089485

에너지빈곤층의 주거형태 및 에너지 소비형태 분석

2015· article· ko· W2292089485 on OpenAlexaboutno aff
Jeong-Gook 김정국Kim, Jung-Hun 이정훈Lee, Hye-Sim 한혜심Han, Doosam 송두삼Song, cheolyoung 장철용Jang, Jong-Hun 김종훈Kim

Bibliographic record

Venue추계학술발표대회 · 2015
Typearticle
Languageko
FieldSocial Sciences
TopicEnergy and Environmental Systems
Canadian institutionsnot available
Fundersnot available
KeywordsEnergy povertySingle familyRoofConsumption (sociology)Energy consumptionLow incomePovertyQuarter (Canadian coin)Agricultural economicsEconomicsGeographySocioeconomicsEngineeringEconomic growthCivil engineeringSociology
DOInot available

Abstract

fetched live from OpenAlex

The purpose of this paper is to present a typical energy poverty households through envelope type of energy poverty households and energy consumption type. Detached house was most have block structure, wood frame-single window, slate roof type. Multi-Family houses concrete structure, Wood frame-single window, concrete roof is the most common. Analysis results of energy consumption showed less than 1 million won income of low-income households that were using the year 8529 thousand Kcal. Low-income household income is a small compared to the general households. However, bad thermal insulation performance of the housing, energy consumtion is similar to the general households.

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)0.000
metaresearch head score (Gemma)0.000
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: Empirical
Teacher disagreement score0.017
Threshold uncertainty score0.057

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0170.003

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 head0.045
GPT teacher head0.276
Teacher spread0.231 · 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
Published2015
Admission routes1
Has abstractyes

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