Bibliographic record
Abstract
Hartman, Rachel. Seraphina. Toronto: Doubleday Canada, 2012. Print.Rachel Hartman’s debut novel, Seraphina, is a fantastical journey into a world where humans and shape shifting dragons live among each other. The novel follows Seraphina, a strong and intelligent female character with a talent for music, as she is caught between two races. Hartman has masterfully created a new religion, culture, language, political system, and multiple species in order to fully immerse the reader in Seraphina’s world.Hartman’s dragons, a unique breed of cold, unemotional mathematicians, are mostly intrigued and confused by what they consider to be overly emotional and artistic humans. The strong differences between the two races are cause for tension, but Seraphina has a mysterious gift of being able to understand how dragons think and why they react to humans in such curious and sometimes dangerous ways.Seraphina is a story of political unrest and adventure, with a little romance added in for good measure. Not only is the book a quick and entertaining read, but the glossary is not to be missed. That’s right, the glossary! Hartman created much of the foreign vocabulary in the novel, and the glossary is the place where her sense of humour and criticism of the world she has created really shine through. Some of the more challenging vocabulary in the novel is defined in the glossary so readers who might feel discouraged by the language should know that the author has invented most of these words. For a good laugh and some added detail about Seraphina’s world, the glossary is a great way to finish. Seraphina is the first in what Hartman has planned to be a series.Recommended: 3 out of 4 starsReviewer: Kymberly SobchyshynKymberly is currently in her second year of schooling to obtain a Master’s in Library and Information Studies at the University of Alberta. In her free time she enjoys traveling, ancient history, and reading of the fiction and non-fiction variety.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.145 | 0.078 |
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".