Bibliographic record
Abstract
In the act of dwelling, the human intimately navigates the realms of psychology and architecture.This thesis considers architecture's psychophysical effects on its users through a "Glossary for the Meaningful design of Atmospheres" and Taoism.The "Glossary" reconciles psychological reactions with architectural elements through an interdisciplinary analysis of psychology and architecture, and Taoism is an ancient Chinese philosophy that dissolves the human into the universe, unifying them.Architectural precedents including the Japanese tea ceremony, Eileen Gray's E-1027, and Snøhetta's Oslo Opera House, an example of To my supervisor Manuel Báez, for supporting my vision.For appreciating, since my first year in architecture school, the rational within the creative that I advocate.For suggesting a touch of philosophy.To my wonderful Will, for loving me through the ups and downs that came with writing this thesis.For encouraging me to appreciate the moment.You and me against the world.To Petros Kapetanakis for inspiring and motivating me.Sitting beside you in studio through all of architecture school made the past six years beautiful.To my family for supporting me throughout.My twin sister Victoria for being my rational version and second half.My older sister Camille for encouraging social engagement and presenting a different point of view.My mum for being my role model in working hard and succeeding.And my father for patiently reading all my essays and for providing a psychologically sensitive outlook throughout my life.Finally, to my little purr monster, Darthy, for being an integral element of my home.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.005 | 0.014 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.010 | 0.001 |
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".