Arena Oslo & Hybrid Spaces
Bibliographic record
Abstract
Åpent, un restaurant davant de l'Òpera d'Oslo administrat per Fursetgruppen, ha de ser remodelat per convertir-se en un espai híbrid d'usos múltiples. El grup de recerca a càrrec d'aquesta tasca està format per estudiants internacionals de tot Europa amb experiència en enginyeria i disseny. Aquest informe consisteix en el procés que va haver de realitzar el grup de recerca per aconseguir-ho. El projecte conté el desenvolupament d'una idea sobre com fer que Åpent es converteixi en un espai híbrid, així com la definició d'aquest concepte. El resultat final que es mostra en l'informe es va realitzar seguint les principals conclusions extretes de la visió construïda pel grup i, per tant, de totes les investigacions realitzades. El concepte conté el redisseny de l'menjador de Åpent juntament amb suggeriments sobre com millorar l'experiència de l'usuari. Aquest informe pretén ser una guia a seguir per al proper grup de recerca.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".