Bibliographic record
Abstract
Greer, Daphne Maxed Out. Victoria: Orca Book Publishers, 2012. Print. In this cleverly-titled high interest low level novel, Max wants nothing more than to have the freedom to play a game of ice hockey with his friends. The trouble is that his mother is still in mourning after his father’s death and Max is left in charge of his special needs brother, Duncan. Max can’t take his eyes off Duncan without some kind of trouble starting. Readers will sympathize with Max and his good intentions. Despite his best efforts, everything he does seems to go wrong and he consistently disappoints his mom. Max is torn between the responsibilities placed upon him much too young and playing the game he loves that brings him closer to his father. The surmounting pressures of responsibility are made worse when he simultaneously has to deal with a bully on top of everything else. The character of Duncan, who believes he is Spiderman or Batman depending on the day, is entertaining. Other likeable characters in the story include Max’s caring friend Ian and the friendly neighbour Mr. Cooper. Kids with feelings of neglect or overwhelming pressure in their lives will relate to Max. The author’s notes emphasizing that “asking for help is a sign of true strength” may provide that bridge for children to seek help through the Kids Help Phone. The cover will attract young hockey fans. The escalating conflicts and intriguing family dynamics will sustain readers to seek out the story’s resolution. This quick read with a simplistic storyline and sentence structure will appeal to boys who are reluctant readers. Recommended: 3 out of 4 stars. Reviewer: Lori Williams Lori Williams has been teaching at Forest Grove School in British Columbia for the past 6 years and feels lucky to be part of a wonderful team of colleagues and students. This year she is teaching grade 5 at Forest Grove and is also a graduate student in the University of Alberta’s teacher-librarianship distance learning program.
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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 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.208 | 0.151 |
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".