Passive Solar Architecture: Case Study on Strategies Used in Jacobs House Designed by Frank Lloyd Wright
Bibliographic record
Abstract
Over the ages major breakthroughs made in passive solar architecture stem from technical innovations, understanding of material properties and energy flows.The emergence of net zero energy buildings represents a crucial moment in terms of energy performance of passive solar designs.Despite the technical feasibility, NZE proposals have proved to be unaffordable owing to complex technical innovations and overreliance on mechanical systems.The purpose of this study is to examine Jacobs's house designed by Frank Lloyd Wright, to rediscover ideas of the past that would be integrated to contemporary passive solar architecture.This began with a literature review, an overview of Wright's background and visit of Jacobs's house.Then, a study of five passive strategies namely: orientation, thermal mass, insulation, ventilation, and natural lighting was done.The thesis will also prove that ideas behind net zero are not new.There is need to re-examine net zero in a wider context of sustainability not to be limited to just energy calculation.Net zero energy building should not be viewed as just a passive building but rather an active social, political, and economical project as the Jacobs House demonstrates.In search for interconnectivity between our built environment and natural world, adopting Wright's principles of organic architecture will make NZE more sustainable.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.004 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| 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".