On Refugees, Running, and the Politics of Writing: An Interview with Lawrence Hill
Bibliographic record
Abstract
A former journalist and political speechwriter, Lawrence Hill has published ten books of fiction and non-fiction. The impact of his work as a novelist, essayist, memoirist, activist, and educator speaks to the power of writing to effect social change. “Artists have voices,” he affirms in the interview below, “and their voices can help influence—profoundly, sometimes—the way we see ourselves, and the way we see our country and the world and our roles in them.” Hill’s voice has contributed widely to pressing conversations about race, Black history, and social justice in North America for over two decades. Laura Moss, Brendan McCormack, and Lucia Lorenzi joined Hill to discuss his most recent novel, The Illegal (2015), which explores the contemporary refugee crisis in a global context, as part of a larger conversation about the conjunction of art and politics in Hill’s work as an author, public intellectual, and prominent voice within the Canadian literary community.
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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 | 0.007 | 0.012 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.067 | 0.029 |
| Scholarly communication | 0.013 | 0.008 |
| Open science | 0.003 | 0.005 |
| Research integrity | 0.006 | 0.012 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".