Bibliographic record
Abstract
Metis : On the Surface is an exhibition of seven projects that range from installations to large urban restructuring proposals. The exhibition and the projects are by Metis, an atelier for art, architecture and urbanism founded by Mark Dorrian and Adrian Hawker at the University of Edinburgh in 1997. The projects aim to connect architectural research, teaching and practice. As this exhibition attests, the projects research the city and the complex ways in which it is imagined, inhabited, and representationally encoded. The research produces rich, multi-layered outputs that resist immediate consumption and that are instead gradually unfurled over time through interaction with them. The work demonstrates a poetic but critical approach to the city that is sensitive to the city’s cultural memory but is also articulated in relation to its possible futures. Working between two contrasting scales, the exhibition itself constitutes an original research output. The seven projects have been redrawn, crafted, reinterpreted and combined into a complex topographical surface. Visitors entering the exhibition encounter a vast drawing on which they walk, carpeting the floor of the gallery. Through this, an internal terrain is inserted within the display space, which is then inhabited by glass display tables that hold detailed drawings and models. The viewers of the exhibition thus not only see a series of projects, but find themselves – as they travel across scale and space – active participants in a speculative architectural imaginary, one in which the architectural object is always in communication with the broader historical, cultural, material and representational conditions of the city or landscape within which it is positioned. The exhibitions ran from: 10 October – 14 November 2014. Arkitektskolen Gallery, Aarhus, Denmark. 27 March – 6 April 2015. Sculpture Court, Edinburgh College of Art, (ECA), Edinburgh, UK.
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.011 | 0.007 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.161 | 0.051 |
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".