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Record W2759594757 · doi:10.5539/ass.v13n10p130

Barriers and Benefits of Changing People’s Behavior Regarding Energy Saving of Air Conditioners at Home

2017· article· en· W2759594757 on OpenAlexvenueno aff
Orose Leelakulthanit

Bibliographic record

VenueAsian Social Science · 2017
Typearticle
Languageen
FieldEnvironmental Science
TopicEnvironmental Education and Sustainability
Canadian institutionsnot available
Fundersnot available
KeywordsAir conditioningConditionersHabitEnergy (signal processing)Environmental economicsPsychologyEnvironmental scienceEngineeringEnvironmental engineeringEconomicsSocial psychologyMathematics

Abstract

fetched live from OpenAlex

Energy saving is a desirable behavior in terms of solving the global warming problem. In order to change people’s behavior from the non-saving to the saving use of air conditioners, for example, the barriers to and benefits of changing their behavior should be investigated. This study collected data from four focus groups consisting of eight adults in each group. Two of the focus groups were non-energy savers in terms of their use of air conditioners while the other two focus groups were energy savers in their use of air conditioners. The results indicated that the barriers to energy saving behavior regarding air conditioners were comfort, habit, and privacy. The benefits of energy saving in relation to the use of air conditioners included saving money, alleviating the climate change situation, saving natural resources, behaving as a good role model for family members, gaining better health, and lengthening the life of the air conditioners.

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)0.011
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.009
Threshold uncertainty score0.019

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.011
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.008
GPT teacher head0.251
Teacher spread0.243 · 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

Citations5
Published2017
Admission routes1
Has abstractyes

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