Bibliographic record
Abstract
"The great purpose of landscape art is to make us at home in our own country" was the nationalist maxim motivating the Group of Seven's artistic project. The empty landscape paintings of the Group played a significant role in the nationalization of nature in Canada, particularly in the development of ideas about northernness, wilderness, and identity. In Beyond Wilderness contributors pick up where the Group of Seven left off. They demonstrate that since the 1960s a growing body of both art and critical writing has looked "beyond wilderness" to re-imagine landscape in a world of vastly altered political, technological, and environmental circumstances. By emphasizing social relationships, changing identity politics, and issues of colonial power and dispossession, contemporary artists have produced landscape art that explores what was absent in the work of their predecessors. Beyond Wilderness expands the public understanding of Canadian landscape representation, tracing debates about the place of landscape in Canadian art and the national imagination through the twentieth century to the present. Critical writings from both contemporary and historically significant curators, historians, feminists, media theorists, and cultural critics and exactingly reproduced artworks by contemporary and historical artists are brought together in productive dialogue. Beyond Wilderness explains why landscape art in Canada had to be reinvented, and what forms the reinvention took. Contributors include Benedict Anderson (Cornell), Grant Arnold (Vancouver Art Gallery). Rebecca Belmore, Jody Berland (York), Eleanor Bond (Concordia), Jonathan Bordo (Trent), Douglas Cole, Marlene Creates, Marcia Crosby (Malaspina), Greg Curnoe, Ann Davis (Nickle Arts Museum), Leslie Dawn (Lethbridge), Shawna Dempsey, Christos Dikeakos, Peter Doig, Rosemary Donegan (OCAD), Stan Douglas, Paterson Ewen, Robert Fones, Northrop Frye, Robert Fulford, General Idea, Rodney Graham, Reesa Greenberg, Gu Xiong (British Columbia), Cole Harris (British Columbia), Richard William Hill (Middlesex), Robert Houle, Andrew Hunter (Waterloo), Lynda Jessup (Queen's), Zacharias Kunuk (Igloolik Isuma Productions), Johanne Lamoureux (Montréal), Robert Linsley (Waterloo), Barry Lord (Lord Cultural Resources), Marshall McLuhan, Mike MacDonald, Liz Magor (ECIAD), Lorri Millan, Gerta Moray (Guelph), Roald Nasgaard (Florida State), N.E. Thing Company, Carol Payne (Carleton), Edward Poitras, Dennis Reid (Art Gallery of Ontario), Michel Saulnier, Nancy Shaw (Simon Fraser), Johanne Sloan (Concordia), Michael Snow, Robert Stacey, David Thauberger, Loretta Todd, Esther Trépanier (Québec), Dot Tuer (OCAD), Christopher Varley, Jeff Wall, Paul H. Walton (McMaster), Mel Watkins (Toronto), Scott Watson (British Columbia), Anne Whitelaw (Alberta), Joyce Wieland, Jin-me Yoon (Simon Fraser), Lawrence Paul Yuxweluptun, and Joyce Zemans (York).
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 | 0.001 |
| Science and technology studies | 0.017 | 0.011 |
| Scholarly communication | 0.010 | 0.004 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.031 | 0.004 |
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".