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Record W4417048694 · doi:10.25039/x051.2025/v6umqq

LIGHTING CONDITIONS IN THE HOMES OF OLDER ADULTS: ARE THEY SUITABLE FOR HEALTHY AGING IN PLACE?

2025· article· en· W4417048694 on OpenAlexfundaboutno aff
Jennifer A. Veitch, Ashley Nixon, Iara Batista da Cunha, Kelsey Eakin, Hannah Villeneuve, William O’Brien, Marianne F. Touchie

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicBuilding Energy and Comfort Optimization
Canadian institutionsnot available
FundersUniversity of Toronto
KeywordsDaylightHealthy agingMorningArtificial lightIlluminanceSleep qualityElderly people

Abstract

fetched live from OpenAlex

Many people in industrialized countries would prefer to remain in their own homes for as long as possible. Remaining healthy while aging in place will depend on maintaining suitable indoor environmental quality. This paper reports preliminary online survey results concerning lighting conditions in the homes of older Canadian adults. Older adults who spend close to 24 hours daily in their homes might not receive the recommended daily light exposure of minimum 250 lx melanopic equivalent daylight illuminance from morning until three hours before bed. Those who spend time outdoors might receive an adequate total exposure if shorter or intermittent very high illuminance exposures are equivalent to long periods at a lower level. Survey participants were generally satisfied with their lighting. Regression analyses revealed small but statistically significant effects of light exposures and satisfaction with lighting on sleep and quality of life, which require validation with light logger data.

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)0.001
metaresearch head score (Gemma)0.002
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 score0.062
Threshold uncertainty score0.123

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.005
GPT teacher head0.232
Teacher spread0.227 · 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
Published2025
Admission routes2
Has abstractyes

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