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Record W7019626061

Former West/Future Souths

2023· other· en· W7019626061 on OpenAlexaboutno aff

Bibliographic record

VenueUNSWorks (University of New South Wales, Sydney, Australia) · 2023
Typeother
Languageen
FieldArts and Humanities
TopicArt, Politics, and Modernism
Canadian institutionsnot available
Fundersnot available
KeywordsEurocentrismDialogical selfGlobalizationModernityContemporary artUtopiaExoticismWorld historyMetis
DOInot available

Abstract

fetched live from OpenAlex

Future Souths: Dialogues on Art, Place, and History, initiated and introduced by Verónica Tello, is the culmination of an online dialogical project that began in 2017. Future Souths features essays and dialogues by/with eighteen authors from the Americas, Australia, Asia, South Africa and Europe, radically reconsidering the geo-spatial bases and biases of contemporary art history and discourse. It proposes a fluid, collective, contingent re-consideration of key art concepts from embodied and geo-located vantage points, perspectives and experiences of the south. The dialogues explore methods, concepts and theories grounded in the materialities of archives, histories, borders and context-specificity. The authors denaturalise the global north-centrism that dominates contemporary art discourse and vocabularies, including its privileging of historical signifiers such as ‘1989’. Future Souths affirms the generative possibilities of southern thinking and methods, specifically communal ones, for manifesting new futures for contemporary art history. With the rise of globalisation and the end of the Cold War, the centre-periphery dichotomy has collapsed, heralding a supposed end of Eurocentrism and the dawn of the contemporary. Yet, despite all the talk of decentralising discourse and the infrastructures of global art, the West, or the global north, still dominates. Future Souths offers an alternative history and geography of contemporary art discourse, rediscovering its multiple beginnings, initiators and routes. Future Souths includes essays by Verónica Tello, Dylan A T Miner, Zoe Butt, Edgar Alejandro Hernández, Rolando López, Carla Macchiavello, Walter D Mignolo, Rachel O’Reilly and Ruth Simbao; and dialogues with the aforementioned and Jennifer Biddle, Katherine Carl, Fernando do Campo, Chandra Frank, Srdjan Jovanović Weiss, Angela Mitropoulos, James Nguyen, Salote Tawale and Jean-Sylvain Tshilumba Mukendi.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.121
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0270.003

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 head0.080
GPT teacher head0.246
Teacher spread0.166 · 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
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
Published2023
Admission routes1
Has abstractyes

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