Enlivening the Spirit of History for Inspirations Today and Tomorrow
Bibliographic record
Abstract
Architecture is an expression of art secured in time. Architectural design is an exercise which involves proportionate utilization of elementary principles such as function, timelessness, materials, technology, aesthetics, climate, form etc simultaneously. Approach for design is crucial as it the determinant factor for an architectural design output. Approaches to design vary from person to person, but what remains as a fundamental aspect is the inspiration for design and design process. This paper specifically focuses on the history of Indian Architecture and how one can get inspired from the design guidelines that history of Indian Architecture provides us even today. The idea is to explore History of Architecture and Architectural Design together, by making an attempt of jugglery between different styles, different times, different places but to suit the conditions of today. There is a lot to acknowledge and interpret from our history and heritage, especially architecture, as history has the best design guidelines which respond aptly to the vernacular character of that place, the lifestyle of the users and building traditions of that time. The study and analysis shall be from History of Architecture, whereas, the application of the analysis shall be for a housing design for present context.
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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 | 0.004 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.013 | 0.044 |
| Scholarly communication | 0.014 | 0.014 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.003 | 0.008 |
| Insufficient payload (model declined to judge) | 0.008 | 0.002 |
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".