The Role of Images in Enriching the Aesthetic Taste
Bibliographic record
Abstract
Contemporary critical proposals and works focused on investing the visual image to convey the desired meanings and connotations as purposeful messages to society. Many studies dealt with the concept of image and visual culture in architecture without focusing on these two concepts and their relationship to aesthetic taste in general and the impact of this on architectural critical practices in particular in a way that broadens the knowledge base about the critical and architectural inspirational and creative possibilities. So, the research is directed towards finding and defining the real relationship between these concepts to seek to understand and present their multiple aspects and expand their theoretical knowledge base. This research aims to define the general framework of the image culture and then focus on studying the culture of the contemporary visual image and its relationship to the aesthetic taste, which are directly related to the contemporary critical movement, and to determine the nature of the dynamic relations between them, to reach a theoretical framework that represents the foundations and rules affecting the enrichment of aesthetic taste and enriching its messages by clarifying the elements of the image, its expressive and aesthetic value, and how to read it, in addition, to clarify the extent to which the aesthetic taste of society is affected by the components of the architectural image, and finding general frameworks for the role of the image in enriching the critical practice in the context of society, with presenting the conclusions and recommendations.
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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 | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.004 | 0.032 |
| Scholarly communication | 0.011 | 0.010 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 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".