Bibliographic record
Abstract
Pierce, Tamora. Mastiff: Beka Cooper Book 3. New York: Random House, 2011. Print. The final book in the Beka Cooper trilogy begins three years after the close of the previous book, Bloodhound, at the funeral of Beka’s fiancé. Instead of grief, Beka is relieved to be free of this unhappy relationship; enthusiastically, she begins a new hunt for the King’s abducted son, along with her supernatural cat, Pounce; her scenthound, Achoo; and her partner, Tunstall. Soon joined by the deceptively capable mage, Farmer, and the lady knight, Sabine, the group follows the heir’s trail through noble houses, discovering corruption in all levels of the government. Pierce is known for her strong female protagonists, and Beka is no different. Fiercely loyal and honest, Beka is an upstanding member of the Tortall police force who believes in protecting the poor. When she discovers that the prince is being held by slave traders, she becomes even more determined to rescue him. Her relationships with her friends are tested by a shocking betrayal that causes innocents to die. The story is fast-paced and includes a growing relationship between Beka and Farmer that provides a satisfying conclusion to the trilogy. Although it could be read as a standalone novel, some elements of the narrative are explained in the previous books. Recommended: 3 out of 4 starsReviewer: Kristine MoruziKristine Moruzi is a Grant Notley Postdoctoral Fellow in the Department of English and Film Studies at the University of Alberta, where she is examining representations of girlhood in Canadian children's literature between 1840 and 1940.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.283 | 0.152 |
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".