Investigating seasonal color change in the environment by color analysis and information visualization
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
Abstract Color, as one of the most important dimensions of vision, plays a key role in place identity and people's experience in the environment. This study aims to investigate people's visual experience of seasonal color change in the environment, and proposes an approach for analyzing and communicating environmental colors by combining color analysis and information visualization. Employing crowdsourced Flickr photos, the approach is tested in four gardens: the Humble Administrator's Garden, Ryoanji, the Garden of Versailles, and Central Park in New York. The results show direct comparisons of seasonal color change patterns in different environments, and reflect characteristics of the environments as well as people's experience of color during the four seasons. The primary contribution of this study is to provide a way of communicating colors in landscape design and color research.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| 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 | 0.001 |
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 it