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Record W7071031191

Report on Knowledge (II), a film and essay for 
\nWOF (World Ornamental Forum)

2016· other· en· W7071031191 on OpenAlexaboutno aff

Bibliographic record

VenueSHURA (Sheffield Hallam University Research Archive) (Sheffield Hallam University) · 2016
Typeother
Languageen
FieldMaterials Science
TopicClay minerals and soil interactions
Canadian institutionsnot available
Fundersnot available
KeywordsThe artsState (computer science)StudioSpace (punctuation)GestureWork (physics)Performing arts
DOInot available

Abstract

fetched live from OpenAlex

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.
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\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.
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\nParticipants 2016:
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\nAlessi, Alberto
\nProfessor of Theory of Architecture. UL University of Liechtenstein.
\n
\nBeutler, Martin (tbc)
\nArtist, Firma für soziale Plastik, Bern, Switzerland.
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\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.
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\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.
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\nGfader, Verina (tbc)
\nArtist, Lecturer. Goldsmiths University of London, and University of Huddersfield, UK.
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\nHarboe, Julie (team)
\nLecturer. Future Laboratory CreaLab, Lucerne School of Business, Lucerne University of Applied Sciences and Arts (LUASA), Switzerland.
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\nHardliz, Ronny (team)
\nArtist, Berne, Switzerland.
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\nKader, Hadas (tbc)
\nArtist, Curator, Fine Art Lecturer at Bezalel Academy of Art and Design in Jerusalem, Israel.
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\nKivland, Sharon (virtual)
\nArtist, Reader in Fine Art. Sheffield Hallam University, City Campus, Sheffield, United Kingdom.
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\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.
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\nMaharaj, Sarat (tbc)
\nProfessor of Visual Arts & Knowledge Systems. Lund University, Malmö Art Academy, Malmö, Sweden.
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\nMarinov, Nicolay (tbc)
\nArchitect, Sofia, Bulgaria.
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\nSadowsky, Thorsten
\nDirector of Kirchner Museum Davos. Ernst Ludwig Kirchner Platz, Davos, Switzerland.
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\nSchuchert, C. Lars (team)
\nScientific research assistant. LUASA – School of Engineering and Architecture, CC Typology & Planning in Architecture (CCTP), Horw, Switzerland.
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\nSimon, Joshua
\nDirector and Chief Curator, MoBY – Museums of Bat Yam, Tel Aviv-Jaffa, Israel.
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\nStreuler, Sandro
\nArtist, Zurich, Switzerland.
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\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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.053
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.001
Science and technology studies0.0020.001
Scholarly communication0.0000.000
Open science0.0020.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0090.001

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.

Opus teacher head0.031
GPT teacher head0.310
Teacher spread0.279 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreOther

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".

Quick stats

Citations0
Published2016
Admission routes1
Has abstractyes

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