Bibliographic record
Abstract
A 5-minute video installation that examines slavery in Canada and its omission from the national narrative. The country prides itself as being a benevolent refuge where enslaved Africans who were brought to United States gained their freedom via the Underground Railroad. That powerful image overshadows the fact that slavery was legal in Canada for over 200 years under both French and British rule. Whitewash brings to light some of the slave families that were brought to what is now the province of Prince Edward Island by Loyalists and looks at how nine generations of descendants have assimilated to the point of leaving very few visible traces of their origins. Screening will be followed by a panel discussion.\nNadine Valcin is an award-winning bilingual producer, writer and director. Her factual and documentary work has been shown in Canada on CBC, CBC News Network, TVO, W, Artv, Réseau de l’information (RDI), Société Radio-Canada (SRC), TFO, as well TV One and the History Network in the United States. Valcin has been awarded numerous grants and prizes including the prestigious Chalmers Arts Fellowship and a Drama Prize from the National Screen Institute for the short film In Between.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.131 | 0.013 |
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".