<i>Grand Theft Terra Firma</i>
Bibliographic record
Abstract
Grand Theft Terra Firma is an exhibition that blends history, gaming, and performance with contemporary art practice to challenge audiences to reconsider the benevolent narratives of settlement to which Canadians are accustomed. The work premiered at the Reach Gallery Museum in Abbotsford, British Columbia, as part of a year-long series of exhibitions that considered notions of decolonization during Canada’s 150th year of confederation. The exhibition is the creation of David Campion and Sandra Shields, an artist couple who have made a practice of appropriating pop literary forms as a means of sharing uncomfortable knowledge. The mechanics of colonization have been a compelling and ongoing theme for them as white artists with personal histories rooted in European expansion. Grand Theft takes a pointed and critical look at the colonization of S’ólh Téméxw, now more commonly known as British Columbia’s Fraser Valley. Since its debut, the exhibition has shown at St. Mary’s University Art Gallery in Halifax, Nova Scotia. In 2019, it will travel to the Diefenbaker Canada Centre in Saskatoon, Saskatchewan; the Art Gallery of Peterborough, Ontario; and Two Rivers Gallery in Prince George, British Columbia. The curator of the exhibition, Laura Schneider, sat down with the artists to reflect on the work and consider its relationship to gaming, performance, and audiences.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.001 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.178 | 0.023 |
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".