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Record W2968951188 · doi:10.3138/ctr.179.003

Creating into the Future: Speculative Practice across Borders, Disciplines, and Knowledges

2019· article· en· W2968951188 on OpenAlexvenueaboutno aff
Jen Rae

Bibliographic record

VenueCanadian Theatre Review · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicClimate Change, Adaptation, Migration
Canadian institutionsnot available
Fundersnot available
KeywordsPoliticsCritical practiceSociologyMedia studiesDeclarationLivelihoodPublic relationsPolitical scienceAestheticsHistorySocial scienceLawArt

Abstract

fetched live from OpenAlex

In the next decade, according the Intergovernmental Panel on Climate Change, we are going to see increasing climatic events with compounding and unprecedented economic, social, and political impacts which will affect livelihoods and ways of life. To borrow Margaret Atwood’s declaration, we are no longer talking about climate change, we are facing “ everything change” including how we practise as artists in various institutional contexts at home and abroad. It is plausible that in our lifetime we will see our venues, galleries, studios, audiences, and other platforms where we create, tour, and present affected. Therefore, we are in a critical time as practitioners to reconsider our capacities and voices, how we untether from our ways of conventionally working within and across institutional structures, and how we can adapt to the challenges ahead. This autobiographical essay reflects on my own pluralities of experiences for leaving Canada and rationale for staying abroad; and how through my practice a decade later, I am considering what returning might mean. My approach is to situate this reflection within a provocation that is speculative around being a practitioner in the future and how working across borders, disciplines, and orientations can prepare one to be adaptive and responsive in the turbulent times ahead.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.910
Threshold uncertainty score0.849

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.045
GPT teacher head0.372
Teacher spread0.326 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreReview

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

Citations1
Published2019
Admission routes2
Has abstractyes

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