Bibliographic record
Abstract
In an era when architecture and cultural experiences often occur in virtual sites, Zenovia Toloudi’s Yellow + Blue is conceived as a labyrinth experienced in a public space. It is presented through its life at the campus of Carleton University in Ottawa, as well as theoretically through a glossary of terms defining architectural apparatuses. An architectural apparatus can be an individual element with various forms, materials, textures and perforations, an opening and a threshold, a design of scales, geometries, proportions and dimensions or a strategic positioning of a building to produce an effect in the eyes of the beholders. Architectural apparatuses intervene in buildings to transmit light or re-create an image interrupting and revealing hidden or overlooked nuances of daily routine through the production of ever-changing phenomena or to produce an illusion of infinity in an interactive futuristic model. Through experiment and experience, certain ideas prevail about architectural apparatuses: they are non-representational artifacts; they become portals for phantasmagoria; they disrupt spatial homogeneity; they recalibrate the senses and cognitive abilities of viewers; they displace temporarily one’s image in relation to the surroundings; they are theatrical, literal and temporal; they become transitional objects or communicative devices; and they become co-producers of space.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.103 | 0.037 |
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".