Author manuscript, published in "Ambiances in action / Ambiances en acte(s)- International Congress on Ambiances, Montreal 2012, Montreal: Canada (2012)" Experiencing built worlds Atmosphere in the contemporary practices of architecture exhibition
Bibliographic record
Abstract
Abstract. Building an exhibition means giving shape to an artificial environment in which certain meanings are transmitted. In a dialectical relationship with the visi-‐ tor, objects reclaimed from the context that generated them are ordered and pre-‐ sented, defining situations full of new meanings and dimensions. In this context, atmosphere plays a significant role: objects and public are simultaneously in one place and, to ensure a successful communication, the emotional component takes on strategic importance. Building an architecture exhibition means giving shape to an artificial environment in which the object of the display is absent. Therefore, in some cases, the purpose of the show becomes the issue of making a spatial experi-‐ ence accessible to the public. Some architecture exhibitions do not define their goal as an objective presentation based on technical drawings, models and strangely uninhabited photographs but, on the contrary, they try to reconstruct a certain “something ” that becomes part of the object of display. If the construction of an atmosphere is of extreme importance in every form of show, which particular role does it assume in the case of exhibitions in absence – an issue that characterises the display of 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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.007 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.325 | 0.057 |
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".