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Record W3019775655

Transparency: Alberta Whittle and Hardeep Pandhal

2020· article· en· W3019775655 on OpenAlexaboutno aff
Tiffany Boyle, Jessica Carden

Bibliographic record

VenueRADAR (Glasgow School of Art) · 2020
Typearticle
Languageen
FieldArts and Humanities
TopicMuseums and Cultural Heritage
Canadian institutionsnot available
Fundersnot available
KeywordsExhibitionTransparency (behavior)ScrutinyPrintmakingColonialismVisual artsDaggerPoliticsSociologyHistoryLawArtArchaeologyPolitical science
DOInot available

Abstract

fetched live from OpenAlex

Transparency is a two-person exhibition from Glasgow-based artists Alberta Whittle and Hardeep Pandhal curated by Mother Tongue, spanning print, artist moving image, drawing and installation. It responds to the architectural heritage of the Castlemills site – as a former silk factory, premises of the North British Rubber Company, and brewery – now occupied by Edinburgh Printmakers. The exhibition takes as its point of departure the physical layers of the print-making process; the buildings’ history; and considers the local built environment as a present-day testimony to Scotland’s colonial past. The exhibition’s title invokes the multiple definitions and etymological roots of the word ‘transparency,’ simultaneously i) meaning to shine a light through, ii) make easily detectable, and iii) to be open to public scrutiny, whilst transparency film is used in many printmaking methods as a means to transfer the image. Working with these three meanings in hand, the exhibition reflects upon on our current political environment, language, trade, travel, contact zones, and calls into question Scotland’s amnesia towards its colonial past. At the same time, their explorations push-back against aspects of transparency: via defacement, through otherworldly and digital simulations, and in the use of appropriated imagery.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
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 score0.459
Threshold uncertainty score0.913

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0090.005
Scholarly communication0.0040.001
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0250.002

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 head0.026
GPT teacher head0.196
Teacher spread0.170 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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
Published2020
Admission routes1
Has abstractyes

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