Bibliographic record
Abstract
Carol Off is a renowned reporter covering Canadian and international current affairs. She was the co-host of the multi-award-winning CBC radio program, As it Happens. A prolific writer, she wrote the best-seller The Lion, The Fox, and the Eagle: A Story of Generals and Justice in Yugoslavia and Rwanda (2000), The Ghosts of Medak Pocket: the Story of Canada’s Secret War (2005), Bitter Chocolate (2006), and All We Leave Behind: A Reporter’s Journey into the Lives of Others (2017), winner of the BC National Award for Canadian Non-Fiction, and the 2018 Ontario Historical Society’s Huguenot Society of Canada Award. Ms. Off has been honoured with a Gemini (2002), a Television and Radio Artists’ John Drainie Award for Distinguished Contributions to Canadian Broadcasting (2008), and a Gabriel Award (2016). Her latest book is At a Loss for Words: Conversation in the Age of Rage (2024).
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 | 0.005 | 0.012 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.050 | 0.021 |
| Scholarly communication | 0.017 | 0.017 |
| Open science | 0.001 | 0.017 |
| Research integrity | 0.007 | 0.013 |
| Insufficient payload (model declined to judge) | 0.026 | 0.009 |
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".