Bibliographic record
Abstract
Watt, Mélanie. Bug in a Vacuum. Toronto, Ontario: Tundra Books, 2015. Print.“It was on top of the world when it happened. Its entire life changed with the switch of a button.” – So begins Bug in a Vacuum, a fun yet serious exploration of the range of emotions one can feel when coping with an unexpected event. A bug’s life is suddenly interrupted when it is sucked up into a vacuum while flying about a house. Tossed and turned, it awakes inside the vacuum and becomes aware of its confinement. As the bug comes to terms with his predicament, it undergoes an emotional journey of denial, bargaining, anger, despair and acceptance. Interlaced between the bug’s journey, a small dog undergoes the same emotions as it copes with the loss of a toy that was also sucked up by the vacuum.Watt, who is well known for her work on the Scaredy Squirrel series, has truly achieved a golden mean with Bug in a Vacuum. The story is simple and yet deals with very complex emotions. It would be an excellent way to broach the subject of coping and emotions with children, especially those confronting a loss or change. Children can laugh at the bug’s struggles but then also relate to them. The text flows at a good pace, while the illustrations draw you in to explore extra details.The artwork of Bug in Vacuum is particularly unique in that it uses mixed media. The colors are muted and earthy in quality. The textures of furniture, carpets and the interior of the vacuum contrast against the glossy super-large eyes of both the bug and his canine companion. The mixture of artistic and digital textures creates a visually stimulating story of its own, that the reader will want to revisit.With such an excellent narrative and engaging illustrations Bug in Vacuum is bound to become a favorite of children and adults alike.Highly recommended: 4 out of 4 starsReviewer: Hanne PearceHanne Pearce has worked at the University of Alberta Libraries in various support staff positions since 2004 and is currently a Public Service Librarian at the HT Coutts Education and Physical Education Library. Aside from being an avid reader she has continuing interests in writing, photography, graphic design and knitting.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.005 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.041 | 0.028 |
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".