"Journeying into the future": An audit of the Writers' Trust/McClelland & Stewart Journey Prize
Bibliographic record
Abstract
2018 marks the 30th anniversary of The Writers’ Trust of Canada/McClelland & Stewart Journey Prize. It is an annual short story award dedicated to highlighting the best emerging writers in Canada. Partly administered by McClelland & Stewart (M&S), an imprint of Penguin Random House Canada, the prize has launched the careers of some of the country’s most celebrated authors. It is also the highest monetary award for a single short story. Despite its impressive legacy and offering, there are issues around the diversity of Journey Prize content. There is also room to improve The Journey Prize’s visibility and reach. This report is the first extensive project to focus on The Prize and it will serve as an advisory document for M&S and other publishers looking to increase brand awareness and encourage diverse content. There are recommendations, namely a curated marketing strategy, to take The Journey Prize into the next phase of its growth.
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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 | 0.027 | 0.067 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.006 |
| Science and technology studies | 0.012 | 0.005 |
| Scholarly communication | 0.025 | 0.007 |
| Open science | 0.002 | 0.008 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.032 | 0.010 |
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".