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Record W2156185307 · doi:10.1177/1477153507086279

Lighting appraisal, well-being and performance in open-plan offices: A linked mechanisms approach

2008· article· en· W2156185307 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueLighting Research & Technology · 2008
Typearticle
Languageen
FieldEngineering
TopicBuilding Energy and Comfort Optimization
Canadian institutionsNational Research Council Canada
FundersPacific Northwest National LaboratoryIlluminating Engineering SocietySteelcaseNew York State Energy Research and Development AuthorityU.S. Department of EnergyU.S. Environmental Protection AgencyRensselaer Polytechnic Institute
KeywordsMoodVisibilityOpen planTask (project management)FeelingApplied psychologyPsychologyPerceptionOffice workersAffect (linguistics)Control (management)Quality (philosophy)SimulationPlan (archaeology)Computer scienceSocial psychologyEngineeringOperations managementArtificial intelligenceGeographyCommunication

Abstract

fetched live from OpenAlex

In two experiments in a simulated office space, temporary office personnel worked under one of six lighting conditions for a day. A previous paper reported the results of statistical tests for lighting conditions effects on perceptions, feelings and task performance. This paper reports mediated regression analyses testing the linked mechanisms by which lighting conditions affect health, well-being and task performance. Combined results from the two statistical approaches show that people who perceived their office lighting as being of higher quality rated the space as more attractive, reported more pleasant mood, and showed greater well-being at the end of the day. Direct—indirect lighting and personal control were favoured. Lighting conditions that improved visibility also improved task performance.

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)0.001
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 score0.373
Threshold uncertainty score0.783

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.001
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 head0.032
GPT teacher head0.279
Teacher spread0.247 · 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