NRC-IRC imagines the future of solid-state lighting in offices
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.
Bibliographic record
Abstract
The Lighting Sub-program at the National Research Council of Canada Institute for Research in Construction (NRC-IRC) has examined the effects of office lighting on occupants' perception, performance, and satisfaction and on energy-efficiency for over 30 years. The promise of LED technology brings together these two issues. Market acceptance of the new technology will require that it be trusted as healthful and safe, and the initial cost premium will mean that the new systems need to offer features that users value, if LEDs are to displace the incumbent fluorescent technology. NRC-IRC began in 2008 to investigate LED technologies with two overlapping activities: the development of new ideas for office lighting with LEDs, and laboratory experiments addressing how people would use and respond to the colour-tuning capabilities of solid-state lighting systems. This article gives a sample of the activities in this project.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it