Bibliographic record
Abstract
Kozlowski, Michal. Louis the Tiger Who Came from the Sea. Illus. Sholto Walker. Toronto: Annick Press, 2011. Print. If you are a logical thinker, as many adults are, this book just does not make sense. How could a tiger be mistaken for a carrot or a pumpkin? What do white chin-patches and nose-tickling whiskers have to do with the name Louis? Why would you put on swimsuits and snorkeling gear to nudge a bucket of breakfast cereal into a sleeping tiger’s belly with a push-broom? And, above all, what self-respecting parents would parade their family dressed up as a narwhal, dolphin, blowfish, and 6-tentacled octopus to lure a tiger back to the ocean so it can swim into the orange sunset? On the other hand, if you can appreciate whacky logic and enjoy engaging illustrations with thoughtful background details and telling facial expressions, you will find yourself reading this story over and over until it eventually almost makes sense. If you figure out why 24 words are printed in larger type and bright colours, let me know! Recommended age from press release: 4-7 years. Recommended: 3 out of 4 stars Reviewer: David Sulz David is a librarian at the University of Alberta working mostly with scholars in Economics, Religious Studies, and Social Work. His university studies included: Library Studies, History, Elementary Education, Japanese, and Economics. On the education front, he taught various grades and subjects for several years in schools as well as museums. His interest in Japan and things Japanese stands above his other diverse interests.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.083 | 0.076 |
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".