Affronts to Inertia: Atsa's Staged Encounters
Bibliographic record
Abstract
In 1998, when the Montreal-based collective ATSA declared a state of emergency and held its first edition of État d’Urgence (State of Emergency), a socially engaged and temporary public art project seeking to call attention to the state of homelessness in downtown Montreal and of citizens around the world forced to exile because of wars or political instability, it did not anticipate that this project would unfold over the course of two decades. However, the recurrent need to remind the authorities and the public of this persistent issue, as well as the positive impact that the project had, led the artists to hold an edition of this project almost every year. Since Pierre Allard and Annie Roy founded ATSA in 1997, one of the main aims of their public interventions has been to stage encounters between complete strangers or between groups of people that do not necessarily talk to one another, such as homeless people and city representatives. By focusing on two of the collective’s long-term projects, namely State of Emergency (1998- 2017) and While Having Soup (2015–present), this paper examines the strategies employed by the artists to stage encounters and how they used the rallying potential of art to activate public spaces and to ensure that they remain open to free expression and democracy. This paper also discusses the material and immaterial traces left by these public interventions.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 teacher head, 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".