Preferred luminous conditions in open-plan offices: research and practice recommendations
Bibliographic record
Abstract
This paper compares research participants' choices of office lighting with recommended practice and existing research, and concludes with practical recommendations for lighting installations. Participants were given the opportunity to choose lighting conditions for VDT office work as part of an experiment concerning the effects of individual control over lighting on task performance and satisfaction. Most participants' choices bettered current energy code specifications for lighting energy use, while largely following both CIBSE- and IESNA-recomrnended practice for desktop illuminance. Average luminance ratios between the VDT n and background were lower than recommended practice but consistent with those in other investigations. No effects of age or sex were observed. Farticzpants who made lighting choices at the end of the day-long session chose conditions that created less VDT-screen glare from reflected images, as compared with those who chose lighting conditions at the start of the day. Despite a high degree of variability in the chosen luminous conditions, overall ratings of lighting quality and environmental satisfaction were high.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.056 | 0.090 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.005 | 0.005 |
| Open science | 0.004 | 0.003 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".