Seven on<i>Seven</i>: A Conversation with the Writers of Orca Book Publishers' Series
Bibliographic record
Abstract
In his will, the adventurer David McLean arranges for each of his seven grandsons a different task that takes him to locations around the world. Seven the Series, published by Orca Book Publishers, brings together the boys' stories, and the work of Canadian young adult writers Eric Walters, John Wilson, Ted Staunton, Richard Scrimger, Norah McClintock, Sigmund Brouwer, and Shane Peacock. Founded in 1982, Orca Book's main warehouse and editorial offices are based in Victoria in British Columbia, Canada. The independent publisher has brought numerous Canadian writers to global attention. Since its publication, over 100,000 copies of Seven the Series have been sold. In what follows, the seven writers share with us their views about the project, their writing processes, their child characters, the larger aims of their individual novels, and how they fit into the larger project. For synopses of the seven books, please refer to www.orcabook.com/seventheseries. The series continues with The Seven Sequels, which will be published on 1 October 2014.
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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 | 0.005 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.016 | 0.007 |
| Scholarly communication | 0.015 | 0.006 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.006 |
| Insufficient payload (model declined to judge) | 0.015 | 0.003 |
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".