Towards an image assessment method to characterize light and color 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
This research presents combined methods based on image analysis to characterize light and color in the built environment. The descriptions used in this research could be useful to predict potential subjective outcomes on individuals generated by light sources and surface color applications in architecture. This study proposes chromatic and brightness contrast analyses to identify their effects on perceptual indicators affected by light and color applications in architecture. A novel 2D graphic integrates descriptors related to saturation and brightness properties to characterize a space and envisage potential subjective experiences. An exploratory study in an academic environment is presented using four ambiences differing in the light source and surface color configuration. Results demonstrate the method proposed in this investigation allows for characterizing an ambience and distinguishing important architectural factors that could potentially affect occupants’ experiences in the built environment. The developed assessment technique offers a solution to address perceptual outcomes from light and color applications in early design stages that can enhance occupants’ spatial experience in architecture.
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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 | 0.001 | 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) | 0.005 | 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