Tutor nel workshop internazionale "Inhabiting, Urban and Architectural Design Workshop" organizzato con l'Ontario College of Art and Design (OCAD University) e Sapienza Università di Roma.
Bibliographic record
Abstract
Tutor nel workshop internazionale "Inhabiting, Urban and Architectural Design Workshop". Il workshop è stato organizzato congiuntamente con l’Ontario College of Art and Design (OCAD University) di Toronto e ha coinvolto 14 studenti canadesi, 4 studenti argentini e 2 italiani. Si è trattato di un workshop intensivo della durata di due settimane che ha avuto come topic il senso stesso dell’abitare, ovvero, lo studio di nuovi tipi di relazione tra l’uomo e l’ambiente, sollecitati dalla diversità di bisogni e desideri, per i quali l’architettura è chiamata a farsi da interprete. Immaginare nuove relazioni con la città, sia attraverso nuove forme di interfaccia fisica e sociale, che con nuove visioni di habitat per l’uomo, è il compito che siamo chiamati ad assolvere, coniugando la tradizione storica con le istanze della contemporaneità. Docenti di riferimento: Doreen Balabanoff (OCAD), Stuart Reid (OCAD), Fabio Quici (Sapienza Università di Roma).
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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.338 | 0.143 |
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".