Black Soldiers from Guelph in the Great War Video Transcript
Bibliographic record
Abstract
A community-engaged teaching and learning collaboration between the Guelph Black Heritage Society, U of G College of Arts, and CESI used film to explore the lives of Black residents of Guelph who served in World War I. Working together with the Guelph Black Heritage Society, students in Dr. Jade Ferguson's English 2130: Literature and Social Change class created the short film Black Soldiers from Guelph in the Great War. This video shares the story of the No. 2 Construction Battalion, the only all-Black unit in Canadian military history, and provides insight into the lives and motivations of Black veterans who were either born or resided in Guelph. The students tell the story of Black Canadians in the early 20th century, illustrating that they served their country by fighting two wars - the Great war, and a war at home to make a more just society. The video is available at: https://youtu.be/CfUGSLJ91z4
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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 | 0.000 | 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 | 0.014 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.066 | 0.006 |
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".