Bibliographic record
Abstract
Walters, Eric. The Money Pit Mystery. Markham, ON: Fitzhenry & Whiteside, 2011. Print. [Originally published by HarperCollins in 1999]. You may recall that in 1986, Tom Hanks and Shelly Long starred in a romantic home-repair comedy called The Money Pit. Today, that film has generally been forgotten, and the nickname “The Money Pit” once again evokes only the legend of Oak Island, Nova Scotia. Ahoy! There be Captain Kidd’s treasure in that there pit. (…or is there?) You may also recall that in 1999, the much-awarded Eric Walters saw the publication of a page-turner called The Money Pit Mystery. This new paperback edition is a straightforward reissue. However, the novel has aged well, and today’s upper elementary readers can escape to summertime adventures with a new copy of this made-in-Canada thriller. The Money Pit Mystery effectively conveys the scale, menace, and irresistibility of the Money Pit, which so far is an immense but fruitless excavation. The Money Pit is dangerous for another reason, too, which is that it is under strict corporate control, fenced and guarded, a true-to-life detail. Protagonists Sam and Beth are inspired by their grandfather’s longtime passion for the mystery when they arrive to stay with him for the summer. Emboldened by their friend Buzz, Sam and Beth succumb to their curiosity, eventually enlisting Grandpa in their quest to find the treasure. More detailed information is available in this Lego®-animated student book report (*spoiler alert*). While The Money Pit Mystery is a successful adventure tale, it’s also a nuanced portrayal of sibling angst, early adolescent crushes, and, most significantly, Alzheimer’s disease. The question of Grandpa’s fitness for independent living is what brings Beth, Sam, and their mother to Oak Island for the summer. The issue threads its way through the book, reminding us that the Pit is deep metaphorically as well as physically. Recommended: 3 out of 4 starsReviewer: 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 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 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) | 0.025 | 0.020 |
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".