Bibliographic record
Abstract
Through the study of exemplary media works and practices - photography, film, video, performance, installations, web cams - scholars from various disciplines call attention to the unsettling of identification and the disablement of vision in contemporary aesthetics. To look at an image that prevents the stabilization of identification, identity and place; to perceive a representation that oscillates between visibility and invisibility; to relate to an image which entails a rebalancing of sight through the valorization of other senses; to be exposed, through surveillance devices, to the gaze of new figures of authority - the aesthetic experiences examined here concern a spectator whose perception lacks in certainty, identification, and opticality what it gains in fallibility, complexity, and interrelatedness. Precarious Visualities provides a new understanding of spectatorship as a relation that is at once corporeal and imaginary, and persistently prolific in its cultural, social, and political effects. Contributors include Raymond Bellour (École des hautes études en sciences sociales), Monika Kin Gagnon (Concordia University), Beate Ochsner (University of Mannheim -Universität Mannheim), Claudette Lauzon (McGill University), David Tomas (Université du Québec à Montréal), Slavoj Zizek (Ljubljiana University and University of London), Marie Fraser (Université du Québec à Montréal), Alice Ming Wai Jim (Concordia University), Julie Lavigne (Université du Québec à Montréal), Amelia Jones (University of Manchester), Eric Michaud (École des hautes études en sciences sociales), Hélène Samson (McCord Museum), and Thierry Bardini (Université de Montréal)."
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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 | 0.001 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.006 | 0.021 |
| Scholarly communication | 0.009 | 0.005 |
| Open science | 0.001 | 0.009 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.019 | 0.002 |
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".