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Record W4410385167 · doi:10.1016/j.erss.2025.104128

Heating up, cooling off: exploring cooling behaviours at home in Aotearoa New Zealand

2025· article· en· W4410385167 on OpenAlexaff
Kimberley O’Sullivan, Rachel Kowalchuk Dohig, Zhiting Chen, Terence Jiang, Nevil Pierse, Mylène Riva, Runa Das

Bibliographic record

VenueEnergy Research & Social Science · 2025
Typearticle
Languageen
FieldEngineering
TopicBuilding Energy and Comfort Optimization
Canadian institutionsRoyal Roads UniversityRoyal College of Physicians and Surgeons of CanadaMcGill University
FundersMarsden FundMinistry of Business, Innovation and EmploymentHealth Research Council of New ZealandRoyal Society Te ApārangiUniversity of Otago
KeywordsAotearoaWater coolingEnvironmental scienceSociologyEngineeringMechanical engineeringGender studies

Abstract

fetched live from OpenAlex

We explored the experiences of summer indoor overheating and summer cooling behaviours in Aotearoa New Zealand using a postal survey. Limited research has engaged with New Zealander's cooling behaviours due to a temperate climate. However, poor thermal dwelling quality and climate warming mean that summer indoor overheating is possibly an emerging problem. The survey was carried out between December 2021 and February 2022, with 641 respondents in total. Overheating was self-reported by almost three quarters of respondents. Use of passive cooling methods was most common, but active cooling methods (e.g. electric fans, heat pump cooling) were used by almost three quarters of respondents. Of the 65 % of households who had a heat pump, 72 % of these used it for cooling. Research from Aotearoa New Zealand has previously shown low use of energy intensive active cooling methods, indicating a change in cooling behaviours. To limit increased residential energy demand and emissions associated with more energy intensive active cooling, both improved housing thermal performance and behavioural change interventions that prioritise passive cooling approaches are required. We also find significant disparity in overheating, and access to and affordability of cooling to achieve comfortable and healthy indoor temperatures. This inequity requires urgent investigation and policy action.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.102
Threshold uncertainty score0.630

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.054
GPT teacher head0.326
Teacher spread0.271 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
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

Citations1
Published2025
Admission routes1
Has abstractyes

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