Bibliographic record
Abstract
Loughead, Deb. Caught in the Act. Orca Currents, 2013. Print.School is out and Dylan is ready to enjoy some time with his friends before he has to settle into his new job and be responsible. Dylan’s single mother arranged a job interview at a local resort to keep Dylan out of trouble and help him earn some money over the summer. Things do not get off to a good start. Dylan is late for his interview because he gets caught at an out of control bonfire where boys are burning their homework. He is initially relieved when Heather, who works at the reservation desk, covers for him, and he gets the job. Over the weekend, Dylan and his friends find themselves in a bad situation and are forced to “borrow” some towels from a local cabin. They inadvertently become suspects in some break-ins, and Dylan must work to figure out what is going on and clear his name. Through all of this, he loses his job for lying and snooping and loses the trust of his mother and grandmother.This book is important in showing how every decision should be thought through and that trust is earned, not just given. Dylan is judged by past behaviour, even when those around him want to give him the benefit of the doubt. The book is successful in avoiding cliches, but sends the message that it is best to be up front, tell the truth and trust those in authority. The idea that every little decision one makes can have serious consequences is something that may be valuable to a teen/preteen audience. That being said, the book is somewhat predictable and the reader may have a strong inkling that things will work out for Dylan. Teens and preteens will likely find they can relate to the themes of peer pressure, parental disappointment, and making tough decisions, all of which are highlighted in the book. Readers will also appreciate up to date references, like Dylan comparing his female friend to Zoe Deschanel, and his mother not allowing him to have a cell phone. This is a quick read, recommended for preteens and teens looking for a relatable, funny story with some important take aways.Recommended: 3 out of 4 starsReviewer: Erin JonesErin Jones is a secondary English teacher in the Langley school district in British Columbia. Currently working on her Masters of Education, specializing in teacher-librarianship, she is passionate about engaging adolescent readers with rich literary experiences and helping students navigate the online world. In her spare time, she loves reading, running and dancing with her two children.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.001 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.365 | 0.282 |
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".