Spatial representations of melanopic light in architecture
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
Modes of representation are key elements in communicating the properties of natural and built environments. This research proposes a capture and representation method for daylighting dynamics in interior and exterior spaces for the photopic (daytime vision) and melanopic (biological clock) portions of the electromagnetic spectrum. The proposed representations of physical ambiences situate quantitative physical information in space and can be displayed as immersive representations for better communication between architects and other stakeholders in the building industry. A digital tool was developed for low-cost, automated surveys using lightweight Raspberry Pi microcomputers and associated Camera Modules (RPiCM). The method allows visualizing the qualitative and quantitative aspects of lighting patterns using High Dynamic Range (HDR) images that generate luminance maps, accurately render human perception and subsequently generate photopic/melanopic dominance maps. The resulting spatial representations become communication tools to identify the photopic/melanopic dominance of architectural components and support design initiatives from architects.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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