Bibliographic record
Abstract
The performance was curated by Helena Reckitt as part of the public programme devised in association with the exhibition 'Cuttings (Supplement)' Simon Starling at The Power Plant in Toronto. \n \nResponding to Starling’s intervention in Lake Ontario, Toronto-based artist Will Kwan presented a new performance that considered how national identity is delineated through a population’s claims to land, landscape and natural heritage. During the summer and fall of 2007, a number of assaults targeting Asian Canadian anglers in Ontario were reported to provincial authorities. The incidents unhinged certain established assumptions about multicultural Canadian society, revealing an undertow of xenophobia against those perceived as “outsiders.” \n \nA Littoral Reconstruction attempts to retrace the physical and mental landscape of the incidents by combining material from a preliminary report drafted by the Ontario Human Rights Commission, press coverage, blogs, site visits, interviews, extracts from Ontario Tourism promotional literature, and Group of Seven biographies. The narrative seeks to reconsider the landscape as a social and potentially nationalistic territory, rather than a natural phenomenon that transcends cultural difference.
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 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 | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".