Ambiguous Becoming:Artists’ Moving Image from Canada, Exhibition, Cooper Gallery, DJCAD
Bibliographic record
Abstract
Exhibition dates: 24 January – 22 February 2020 Venue: Cooper Gallery, DJCAD, Dundee, UK Co-curated by Sophia Y. Hao Maude Johnson, Ambiguous Becoming: Artist’s Moving Image from Canada was a collaboration between Cooper Gallery University of Dundee and MOMENTA | Biennale de l’image in Montréal, Canada. Bringing together a broad spectrum of artists and collaborations from Canada, including artist duo Chloë Lum and Yannick Desranleau, artist collaborative group Jérôme Havre, Cauleen Smith, and Camille Turner, and Victoria Sin, the exhibition and associate public events draws out and delineates the rich scope of aesthetic, critical, and philosophical positions underscoring the politics of the performative body. Recognising the implicit struggles against colonialism, patriarchy, and capitalism waged on and within the body, the exhibition actively asserts the necessity of claiming ownership of the body throughout its performative and discursive iterations. Indicating and referencing the multitude of cultures, psychologies, identities, and genders at stake in the artists’ works, the exhibition addresses the dynamics of power and its resistant double, the unrestrained agency of becoming. Underscored by this ambition Ambiguous Becoming offers a portrayal of bodies in the moment of their resistance to the twin horrors of objectification and unfettered consumption. Four public engagement events were presented during the exhibition.
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.026 | 0.006 |
| Scholarly communication | 0.010 | 0.002 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.001 | 0.004 |
| Insufficient payload (model declined to judge) | 0.053 | 0.003 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".