Bibliographic record
Abstract
Cass, Kiera. The One. New York: Harper Teen/Harper Collins Publisher, 2014. Print.Book Three in The Selection seriesThe One is the third instalment of Kiera Cass’ Selection series. The first book, The Selection, begins with thirty-five girls who are chosen across the country to vie for the prince’s heart to become the next queen of Illéa. For most girls, this would be a dream come true. For America Singer, one of the selected, she could not care less. She does not want to leave her family or her childhood sweetheart behind. Soon swept into a world so different from her own, she begins to see not everything is perfect at the castle or as simple as it seems.The Elite, book two, picks up right after one of the eliminations and begins with the final six girls (the elite). There is more turmoil as America battles with her feelings for her childhood sweetheart, Aspen, who is a guard at the palace, and Maxon, the prince, who has more aspects to him than she originally thought. Tension rises when the rebels attack the castle and the girls are under siege. While America struggles with her feelings, she decides that she does, in fact, want to be there and will now try for Maxon’s heart, if she still has a chance.The One, book three, begins with the castle under attack. We have learned secrets about the king at the end of book two and are beginning to understand the rebels’ motives. Competition is also fierce as it is now down to the top four girls and each girl is desperately trying to win Maxon’s heart. America feels strongly for the prince, but how can she know if she loves him when he still has three other girls that he is dating? Does he love her or one of the other girls more? Can she really turn away from Aspen, her first true love? Full of action, suspense and heartache, you will want to know how this book ends. The story is a mix between The Hunger Games, The Bachelor and Cinderella. This series is sure to thrill teenage audiences looking for adventure and romance.Highly Recommended: 4 out of 4 starsReviewed by: Shawna ManchakowskyShawna Manchakowsky recently completed her MLIS at the University of Alberta. When she is not working at Rutherford Library as a Public Service Assistant, she can be found with her husband parenting her two young girls; avoiding any kind of cooking; and reading for her two book clubs. In between book club titles, she tries to read as much teen fiction as she can get away with.
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 | 0.000 | 0.003 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.006 | 0.006 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.425 | 0.457 |
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".