MétaCan
Menu
Back to cohort
Record W7005940724

Spectacular Evidence: Theatres of the Observed Mind
\nDr Michelle Williams Gamaker lecture:
\nLygia Clark, The House is a Body - Biological Architecture

2017· other· en· W7005940724 on OpenAlexaboutno aff

Bibliographic record

VenueGoldsmiths (University of London) · 2017
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsArchitectureEveningRelation (database)Quarter (Canadian coin)Event (particle physics)Public spaceSpace (punctuation)Work (physics)
DOInot available

Abstract

fetched live from OpenAlex

Convened by Dr Zoë Mendelson and presented by Camberwell, Chelsea, Wimbledon Graduate School Public Programme.
\n
\nA one-day symposium, Spectacular Evidence, will include presentations, performances, screenings and talks from the fields of visual art, medicine and critical theory. Drawing upon histories of madness and its exhibition, and considering how it has been staged as cultural performance, this event will consider behaviours and ‘performances’ exchanged between viewer and physician in relation to patient.
\n
\nContinuing on from my PhD research into Brazilian artist Lygia Clark, I discuss Clark's work on 'biological architecture'
\nProgramme: 
\nDr Zoë Mendelson: Short introduction 
\n
\nSession 1: Madness and aesthetic spectacle
\n
\nZoe Beloff
\n
\nDr Anna Harpin
\n
\nFlorence Peake
\n
\n1pm – 2pm – lunch break
\n
\nSession 2: Case studies/Studies of cases
\n
\n2pm – 4pm – afternoon session
\n
\nDr Michelle Williams Gamaker
\n
\nEddy Dreadnought
\n
\nSal Anderson
\n
\nDr Caterina Albano
\n
\n20 min coffee break
\n4pm – 6pm – evening session
\n
\nSession 3: Madness, space and object
\n
\nDr Zoë Mendelson
\n
\nDr Monika Ankele
\n
\nDr Joanne Morra
\n
\nRosemary Cronin

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, Open science, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.427
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0010.001
Science and technology studies0.0010.004
Scholarly communication0.0000.000
Open science0.0060.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0050.001

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 head0.033
GPT teacher head0.230
Teacher spread0.196 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreEmpirical

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
Published2017
Admission routes1
Has abstractyes

Explore more

Same venueGoldsmiths (University of London)French-language works237,207