Reconsidering the Transparency of Contemporary Architecture and Sustainability Through Development of Glass Technology
Bibliographic record
Abstract
This study is anchored on the exploration of the evolving concept of transparency in contemporary architecture, with a spotlight on the integral role of advancing glass technology.It primarily addresses the question: How has glass technology redefined transparency to foster sustainability in contemporary architectural designs?The core objective is to delineate the enhancements in glass materials enabled by modern technological techniques, specifically focusing on glass envelopes and their contribution towards achieving the three pillars of building sustainability: environmental, economic, and social.Utilizing an analytical methodology, this research first elucidates the notion of double transparency, the indicators of architectural sustainability, and the leading-edge technologies in the glass industry.Subsequently, a comprehensive review of contemporary architectural transparency literature is undertaken, shedding light on its sustainability aspects.The study further includes an analysis of the application of glass technology in avant-garde architectural projects recognized by LEED awards.This examination aids in the construction of a theoretical framework that illustrates the environmental, economic, and social sustainability indices actualized in contemporary architecture, following the application of the double transparency concept through novel technological techniques.In conclusion, this research underscores the efficacy of advanced glass technologies, including glass envelopes, double facades, and smart glass.These technologies have demonstrated their capabilities in managing facade shading to minimize heat gain, controlling light transmittance into spaces, and conserving energy to the lowest feasible level, thereby curtailing overall energy consumption.Consequently, they present a compelling case for the advancement of sustainable architectural practices.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.013 |
| Scholarly communication | 0.007 | 0.009 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".