Bibliographic record
Abstract
This study aimed at revaluating Frank Gehry's freeform constructions. To this end, the study analyzed the way the space composition and circulation system of general constructions are connected with newly extended parts in the Art Gallery of Ontario and, based on this, comparatively analyzed freeform constructions before and after the art gallery, finding out what changes were made in the exterior and interior spaces of freeform constructions built after the art gallery. The results of the study are as follows. First, starting from extending the Art Gallery of Ontario, Gehry came to use glass instead of metal as main material of freeform constructions. In order to create the circulation connecting the existing building and the extended mass, Gehry applied continuing circulation for the first time to the gallery. Third, in addition to design motives, such as the woodblock print depicting a carp by Hiroshige, still life depicting a glass bottle by Morandi and the crease of the shawl in Vermeer's paintings, which Gehry applied to freeform constructions, the design motif which was recently acquired from Pyrenees rock was added. Fourth, the trend of mall construction appeared before and after the Art Gallery of Ontario. Finally, Gary used the shape of fish as a design motif for his work at an important turning point in his Freeform Architecture.
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 | 0.000 | 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 | 0.011 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".