Bibliographic record
Abstract
The Golden Square Mile in Montreal, much like the city's Old Port, is an area of multiple histories.For some, these stories evoke an eerie sense of unease, whilst wandering these neighborhood's streets.A sense of unsettlement emerges, as ongoing anti-Black and settler-colonial histories seep through the cracks of these historical sites.Deanna Bowen's artistic practice tackles the disturbing annals of Canada by diving headlong into such cracks, using both private and public archives to illustrate "a complex mapping of power." 1 Throughout her work, Bowen locates Black people, their presence and movement across time and space. 2 Her own family history forms the crux of her auto-ethnographic interdisciplinary practice.She scrutinizes her family's lineage, migration, and connections to Vancouver's Hogan's Alley as well as to Black Strathcona, the Black prairie pioneers of Alberta and Saskatchewan, the Creek Negroes, the "All-Black" towns of Oklahoma, the Kansas Exoduster migrations, and the Ku Klux Klan in Canada and the United States.3 Bowen's iterative and cumulative approach explores topics of white supremacy in the Canadian context, as they relate to global anti-Black and settler-colonial histories.Bowen's artworks can be read as complementary pieces that imbricate one another, forming a For commentary on the works and issues raised in the exhibition as well as suggested readings, please consult Ways of Thinking on the Gallery's website.
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.007 | 0.006 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.243 | 0.139 |
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".