Bibliographic record
Abstract
" Montreal artist Marisa Portolese presents "Goose Village," a powerful publication unveiling the lost history of a vibrant neighbourhood decimated by urban development in the 1960s. [...] [T]his first edition chronicles the once-thriving Goose Village in Pointe-Saint-Charles, Montreal, and the lives of its displaced inhabitants. Portolese's comprehensive body of work, spanning four years of production and research, delves into the narrative of Goose Village. This multidisciplinary endeavour combines oral history interviews, portraiture, urban landscapes, and a forensic gaze into thousands of historical images housed at Les Archives de la Ville de Montréal. The result is a heartrending exposé of how short-sighted urban planning decisions devastated a close-knit community, forever altering the cultural and social fabric. The Goose Village publication, co-authored by Vincent Bonin and Marisa Portolese, serves both as a moving memorial and a call to acknowledge this historical injustice. [...] [The publication] showcases a wealth of historical documentation and personal anecdotes, enabling readers to understand a forgotten era in Montreal's history. " -- Project'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 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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.021 | 0.075 |
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; both teacher heads agree on what is shown here.
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".