Color Preference and Color Supportive Behavior: The After Effects of Color Perception of Rural Housing Among the Indigenous Residents in Gutian District, Fujian Province, China
Bibliographic record
Abstract
The colors of traditional dwellings are an extremely intuitive manifestation of regional culture and an important reference for guiding rural housing. This study takes the Gutian district as the research region and explores the internal influence mechanism of the “color perception–preference–supportive behavior” of the indigenous residents towards traditional dwellings, specifically rammed earth dwellings. After constructing a structural equation model, the results were as follows: (1) The color perception of the indigenous residents towards traditional dwellings has two dimensions: distinctiveness and rootedness. (2) The color perception of the indigenous residents towards traditional dwellings can significantly enhance their color preference, but the two dimensions of color perception have different effects on color preference. (3) Color perception has a direct impact on color supportive behavior, mainly reflected in the dimension of the perception of distinctiveness. On the other hand, the mediating role of color preference has a positive impact on color—supportive behavior, mainly reflected in the dimension of the perception of rootedness. This study constructs a positive—cycle model that goes from the strengthening of color perception to the promotion of color preference and finally to the enhancement of color supportive behavior. The aim is to deeply analyze the multiple values contained in the colors of traditional dwellings, which not only demonstrate regional characteristics but also closely meet the emotional needs of the indigenous residents and have broad application potential in rural housing and cultural inheritance significance.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".