Bibliographic record
Abstract
Chapter 4 recounts the emergence of the theory and practice of a “Defeatured Landscape,” the name given in 1970 to a new urban semiotic that would constitute photo-conceptual artists self-defined counter tradition to those cultural practices deemed uncritical, expressionist, and mythical that were explored in Chapter 3. NETCO’s Ruins (1968) and Portfolio of Piles (1968) are examined as important precursors to the defeatured landscape. Dennis Wheeler, Jeff Wall, Ian Wallace and Christos Dikeakos’ art and writing are discussed as examples of defeatured landscapes in relation to their influences: American conceptual artist peers like Dan Graham; Concrete Poetry; awareness of the vehicular landscape; and Surrealism and its legacy in the psycho-geography and dérives of the Situationist International. This history is set against two contrasting examples: the real political conflicts of land development and associated financial speculation going on at the same time in the city; and an accounting of the erotic female bodies who often populate the otherwise defeatured landscapes of the photo-conceptualists. These examples show how the social politics of public space in Vancouver are left out of avant-garde representations of the city through the discursive framing of a landscape not so defeatured after-all.
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 | 0.005 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.012 | 0.091 |
| Scholarly communication | 0.022 | 0.009 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".