Synthetic futurism: exploring the possibilities of limitless architectural change and growth
Bibliographic record
Abstract
Buildings do not have to burst out of the ground with a predetermined identity. They have an inherent need to grow, change and reinvent themselves to reflect the changes among the people and context. In the ever-changing condition of the context, the design of a building must be conscious of and attuned to the growing needs of society. It cannot assume it is destined for a singular purpose, as instead it is defined by a continuity of growth and reinvention. With the onset of contextual changes, the fleeting moment of a design’s conception becomes less significant. In turn, what rises in import is the integration of contingency to allow a design to metabolize the effects of the contextual change and synthesize new solutions within a flexible, absorptive system. Each added component through its relationship with subcomponents and previously existing elements can serve to create diversity, continuity and flexible internal hierarchies between continuous servant and served space. The summation of the Group Form that results from the melding of many parts can allow the buildings identity to shift as the individual parts reform and change to form new cohesive identities. By manufacturing the base and set of core components, a radically diverse system can grow beyond the limits of the originating elements, adding malleability to the many comprising identities.
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 | 0.004 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.023 |
| Scholarly communication | 0.010 | 0.012 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 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".