The Tomato Palace; Empathy, Practice, & Design
Bibliographic record
Abstract
Empathy is the capacity to move beyond the confining sense of ‘I’ and experience the world through others. Like laughter, it does not exist in isolation by its very nature it is an act of human connection. This thesis examines empathy as both a philosophy and a tool of architectural practice. \n \nThe underlying narrative of this thesis embraces the potential of relating to other people as positive and powerful sources of learning. Learning through social interaction is neither new nor revolutionary and consequently it is easily ignored by the contemporary work of architects and does not feature as a topic in the education of the architect. \n \nWhile architecture depends on the act of material construction it is fundamentally about addressing the needs and well-being of people. We need to recognize that the best way to learn about these needs is to develop a framework in which people feel open to share their experiences. The role of the architect in this scenario is to remain curious, to listen empathically, and to transcribe and embody these experiences. \n \nThe setting for this thesis is a children’s camp in rural Ontario. At the site a series of collaborative drawing and writing exercises based on the principles of empathy, enable a medium for the architect to value the experiences of the children and their capacity for expression. These interactions help bring our interdependence to the forefront and provide the rich internal ground from which the camp is architecturally re-imagined.
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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.018 |
| Scholarly communication | 0.009 | 0.005 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.028 | 0.006 |
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".