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Record W584871723

Negotiating the Global

2013· dissertation· en· W584871723 on OpenAlexaboutno aff
Megan Bradley

Bibliographic record

VenueSpectrum Research Repository (Concordia University) · 2013
Typedissertation
Languageen
FieldSocial Sciences
TopicCultural Industries and Urban Development
Canadian institutionsnot available
Fundersnot available
KeywordsExhibitionMultitudeNegotiationMedia studiesContext (archaeology)SociologyIdentity (music)Art historyVisual artsAestheticsPolitical scienceArtHistorySocial scienceLaw
DOInot available

Abstract

fetched live from OpenAlex

This thesis examines four instances between 2002 and 2012 where Canadian artists have participated in international exhibitions: in all these cases the Canadian identity of the artists in question is de-emphasized, while a new global identity comes into play: David Altmejd at the 2003 Istanbul Biennial; Ingrid Bachmann at the 2012 Havana Biennial; Brian Jungen at the 2009 Basel Art Fair, and Gareth Moore at the 2012 dOCUMENTA exhibition in Kassel. This study interrogates the shifting meaning of “global art” at the present time, by evaluating the circumstances of these institutions and tracking the curatorial outlook, the artworks presented and the location and context of each global encounter. The theoretical approaches of contemporary thinkers such as Arjun Appadurai, Ali Behdad, Okwui Enwezor, Nikos Papastergiadis and John Ralston Saul provide a framework for thinking about the way the global has been positioned. The case studies identify how the global can be considered as a paradigm that expands beyond the easy opposition of global vs. local, or global vs. national, by considering instead the complex set of issues that arise when artists participate in global exhibitions. The global paradigm opens up the discourse of contemporary art to a multitude of possibilities for exchange and interaction.

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 categoriesScience and technology studies
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 score0.203
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0040.001
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.048
GPT teacher head0.317
Teacher spread0.268 · 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
Published2013
Admission routes1
Has abstractyes

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