Report on Knowledge (II), a film and essay for \nWOF (World Ornamental Forum)
Bibliographic record
Abstract
An anti-conference: Three days of collaborative work in the Kirchner Museum and surrounding. Unable to attend, Kivland acted as a radio operator, receiving and reporting back on reports submitted. \n \nThe World Ornamental Forum (WOF) at the Kirchner Museum in Davos, Switzerland, is an international biannual format that operates beyond, or before, economic interests bringing together individuals and communities for the effectuation and exploration of today’s paradigm shifts. \n \nWOF leaves space for contingent research by exploring the state of its own actualization. Thus every gesture reaches a double status, one that is both the activity of making the WOF (method) and the actually made WOF (object of research). Models also have such a double status as both being a contingent reality and representing something else. By building models of the state of WOF’s actualization it was possible to gain insights about the state of our world in which, presumably, a major paradigm shift towards practice is taking place. \n \nParticipants 2016: \n \nAlessi, Alberto \nProfessor of Theory of Architecture. UL University of Liechtenstein. \n \nBeutler, Martin (tbc) \nArtist, Firma für soziale Plastik, Bern, Switzerland. \n \nChapuis Schmitz, Delphine \nArtist, Philosopher, Zürcher Hochschule der Künste, Switzerland. \n \nChristensen Blair, Sara \nArtist, Associate Professor of Art. Northern State University, Aberdeen, SD, USA. \n \nEconomides, Aliki (virtual) \nResearcher. Harvard University, Graduate School of Design, Cambridge, U.S.A. \n \nEgger, Salome \nPerformance Artist and Textile Designer, PhD cand. Nottingham Trent University. \n \nGfader, Verina (tbc) \nArtist, Lecturer. Goldsmiths University of London, and University of Huddersfield, UK. \n \nHarboe, Julie (team) \nLecturer. Future Laboratory CreaLab, Lucerne School of Business, Lucerne University of Applied Sciences and Arts (LUASA), Switzerland. \n \nHardliz, Ronny (team) \nArtist, Berne, Switzerland. \n \nKader, Hadas (tbc) \nArtist, Curator, Fine Art Lecturer at Bezalel Academy of Art and Design in Jerusalem, Israel. \n \nKivland, Sharon (virtual) \nArtist, Reader in Fine Art. Sheffield Hallam University, City Campus, Sheffield, United Kingdom. \n \nMac Namara, Aoife (tbc) \nArtist, Dean Visual Art and Material Practice. Audain School of Visual Art, Emily Carr University of Art and Design, Vancouver, Canada. \n \nMaharaj, Sarat (tbc) \nProfessor of Visual Arts & Knowledge Systems. Lund University, Malmö Art Academy, Malmö, Sweden. \n \nMarinov, Nicolay (tbc) \nArchitect, Sofia, Bulgaria. \n \nSadowsky, Thorsten \nDirector of Kirchner Museum Davos. Ernst Ludwig Kirchner Platz, Davos, Switzerland. \n \nSchuchert, C. Lars (team) \nScientific research assistant. LUASA – School of Engineering and Architecture, CC Typology & Planning in Architecture (CCTP), Horw, Switzerland. \n \nSimon, Joshua \nDirector and Chief Curator, MoBY – Museums of Bat Yam, Tel Aviv-Jaffa, Israel. \n \nStreuler, Sandro \nArtist, Zurich, Switzerland. \n \nZellweger, Christoph (tbc) \nArtist, Dozent MA Design (HSLU) / Professor of Art and Design, Senior Resarch Fellow (Sheffield Hallam University). Hochschule Luzern, Design und Kunst, Luzern, Switzerland.
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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.002 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.059 | 0.017 |
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".