Controversies about Public Contemporary Art: An Opportunity for Studying Viewer Responses
Bibliographic record
Abstract
Unlike other types of public art, works of public contemporary art are often the subject of controversy. This paper examines two examples of public contemporary art: one controversial (A & B associés, Transformer Site, 1982), the other not: (John Ceprano's Ottawa River stone Sculptures, 1987). To understand the developments that led to these different outcomes, the two case studies are examined using three different approaches. First, by presenting various viewers' points of view as expressed in newspaper articles and letters to the editor, the author explores public opinions about A & B associés Transformer Site (1982) in terms of the social class aesthetics of French sociologist Pierre Bourdieu (1980). Second, the author examines how additional factors, such as education and viewing experience, also shed light on viewer reactions to works of public contemporary art. Third, consideration is given to the role of the media in influencing public opinion about the two art projects. The author argues that, in the case of John Ceprano's stone sculptures on the shores of the Ottawa River, the media's coverage of the production of these works is an example of art education on a massive scale. The article concludes with a discussion of Vincent Lanier's (1987)argument that freedom of aesthetic choice can only truly exist when viewers have informed access to works of art.
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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 | 0.007 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.009 | 0.009 |
| Scholarly communication | 0.015 | 0.009 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.004 | 0.004 |
| Insufficient payload (model declined to judge) | 0.007 | 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".