Bibliographic record
Abstract
Huget, Jennifer LaRue. The Best Birthday Party Ever. Illus. LeUyen Pham. New York: Schwartz & Wade Books, 2011. Print. “My birthday is 5 months, 3 weeks, 2 days, and 8 hours away. Today I started to plan my party.” And so the planning begins for the 5-year-old soon-to-be birthday girl in this charming picture book. She has to start planning early if she wants the best birthday party ever. She is going to invite all 57 of her friends including the mailman and the invitations will be sprinkled with fairy dust. She will have 9 thousand balloons, streamers and napkins: all in pink. On the menu is a 17-layer cake, each layer a different flavour, with 6 zillion candles on top. Not only will there be: a magician, camel rides and a Ferris wheel, but each lucky guest will receive a hamster as a party favour. In a kid-friendly countdown style towards the big day, our sweet party planner gets more and more excited as her birthday approaches and the plans get more and more grandiose. Only after her mother comments that this birthday party is “getting out of hand” does she agree to skip the sparkly necklaces. The day finally arrives and while it may not be the party she dreamed of, she is appreciative and enjoys her day so much that she immediately begins plans for her next birthday. This beautifully illustrated read-aloud captures the excitement of a child as she looks forward to her special day and will appeal to lower elementary grades as well as preschoolers. The whimsical mostly-pink drawings may be initially off-putting to boys but they are certain to relate and enjoy the story. Highly recommended: 4 out of 4 stars Reviewer: Debbie FeisstDebbie is a Public Services Librarian at the H.T. Coutts Education Library at the University of Alberta. When not renovating, she enjoys travel, fitness and young adult fiction.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.248 | 0.208 |
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".