Bibliographic record
Abstract
Smyth, Fiona. The Never Weres. Toronto: Annick Press, 2011. Print. What would life be like for humanity’s final generation, those who would always be the youngest people on Earth, born just before a “barren virus” has rendered humans infertile? This question underpins the pre-teen sci-fi mystery The Never Weres, the first graphic novel from Toronto-based Fiona Smyth, veteran painter, cartoonist, and illustrator. Smyth’s exploration of the daily lives of teenagers Xian, Mia, and Jesse is a fresh extrapolation of the dystopian “world without children,” popularly identified with P.D. James’ Children of Men. Smyth interweaves her heroes’ world — from which parents are variously absent — with classic science fiction tropes such as robotics, genetics, and virtual online communities. Most pressingly, the ethical and practical implications of human cloning are central to the mystery as it unfolds. Smyth handles the issue evenly and rightly represents it as controversial. By focusing on a missing girl’s possible involvement with long-ago experiments, Smyth effectively provokes reflection about cloning’s impacts on human relationships. However, she has simplified the relevant ideas to the extent that readers may not be challenged much by them. The layouts of The Never Weres are at times confusing and may hinder readers’ progress. The book’s visual style conveys Smyth’s vision of a bleak, crowded, deteriorating Toronto somewhat better than it captures her spirited protagonists. Overall, despite some weaknesses, The Never Weres wraps a worthwhile science-positive message within an engaging mystery adventure. Recommended with reservations: 2 out of 4 stars Reviewer: Sarah PolkinghorneSarah is a Public Services Librarian at the University of Alberta. She enjoys all sorts of books.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.066 | 0.025 |
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".