ALLURE OF THE "CRYSTAL: MYTHS AND METAPHORS IN ARCHITECTURAL MORPHOGENESIS
Bibliographic record
Abstract
'Form' has always been one of the most important issues in architectural design. In the process of form-giving to the end-product, architects make use of different sources from typologies to intuitions or metaphorical ones. When the generic ideas of the prominent examples in architectural history have been traced, it can clearly be stated that one of the most effective metaphors used in architecture is the 'Crystal.' Appearing at the intersections between nature and human history and having a long history going back to myths, the 'Crystal' has been used extensively in architecture both as reflecting the meaning originating from its mythical background, and also, as a metaphor representing the perfection in nature. This article will try to trace the use of 'crystal' metaphor in history and analyzing the two examples, namely, the Royal Ontario Museum: 'Crystal' in Toronto (2007) by Daniel Libeskind and Musée des Confluences: 'Crystal Cloud of Culture' in Lyon (2014) by Coop Himmelb(l)au, will try to evaluate the change in the use of crystal metaphor in contemporary architectural morphogenesis.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.011 | 0.081 |
| Scholarly communication | 0.008 | 0.009 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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".