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 The empirical study of the psychology of color dates back to the 19th century. Important in this line of research is the study of color preferences—wherein stimuli are characterized in terms of three properties: hue (i.e., wavelength), saturation (i.e., vividness), and brightness (i.e., black-to-white quality). Whereas early thinkers doubted the possibility of a systematic study of color preferences due to idiosyncrasies and individual differences in participants’ choices, a substantial body of empirical evidence has emerged to demonstrate that there are reliable regularities in color preference. Specifically, in terms of single colors, there is a clear maximum around blue and a clear minimum around yellow—a pattern also observed in animals. In terms of saturation, people tend to prefer more saturated to less saturated colors, particularly in context-free settings. In turn, results regarding brightness are more equivocal, although overall there appears to be a preference for lighter colors. Perhaps more interesting are the reasons for the aforementioned preference patterns, for which a number of theoretical explanations have been put forth based on physiology, psychophysics, emotion, and ecological objects—each of which enjoys some level of empirical support. The psychological study of color preferences is well poised for further advancement, with downstream effects in a number of settings ranging from consumer products to artworks and architecture.
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 | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.010 | 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