Giancarlo De Carlo. O participativnoj arhitekturi
Bibliographic record
Abstract
Giancarlo De Carlo bio je jedan od prvih svjetskih arhitekata koji su teoretizirali i eksperimentirali na temi participacije u arhitekturi. Rođen 1919. godine, odgovoran je za paradigmatske projekte na temi kolektivnog života kao što su kampus Sveučilišta u Urbinu i stambeni kompleks Matteotti, izgrađen za radnike željezare u Terniju. Za De Carla arhitektura je „proces“ koji se bazira na participaciji – sudjelovanju svih aktera u projektu. On prožima arhitektonski dizajn sa životom i potrebama svojih budućih korisnika, pokušavajući nadvladati koncept arhitekture kao jednog individualnog kreativnog akta. Sa svojom serijom članaka i publikacija postavlja u krizu načela "onečišćenja, autonomije, samodostatnosti" koji su opteretili modernu arhitekturu čineći je neshvatljivom za svoju publiku: za De Carla arhitektura postaje "realna utopija", konstruirajuća platforma zajednice. Dobroletovo izdanje donosi osam De Carlovih tekstova na temu participacije u arhitekturi po izboru urednika Alberta Franchinija i Luke Skansija.
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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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.007 | 0.012 |
| Scholarly communication | 0.010 | 0.009 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.006 | 0.006 |
| Insufficient payload (model declined to judge) | 0.031 | 0.007 |
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".