Bibliographic record
Abstract
Scanlon, Liz G. Noodle & Lou. Illus. Arthur Howard. New York: Beach Lane Books, 2011. Print. In an unlikely animal pairing, Noodle, an earthworm who is having a bad day, turns to his buddy Lou, a perky blue jay, to cheer him up. While Noodle confides his feelings of envy about other worms living it up at Wiggly Field and catalogues all of his reasons for self-loathing, Lou counters with loyal support until finally Noodle cheers up. Lou’s patient, nurturing, and kind-hearted reassurance highlights the importance of friendship and self-acceptance. There are moments of entertaining weirdness in the book like when Noodle reasonably complains “My head has no eyes” but at times the text is clichéd and seems forced to fit into the rhyming scheme. The book does not stray from the author’s purposive, straightforward storyline and lessons—developing self-esteem, supporting friends, and appreciating who you are. Kids will pay attention to the thick-lined, colourful drawings and try to spot other bugs and birds found in the illustrations. The illustrations get progressively brighter and more detailed as Noodle’s mood brightens. Noodle is drawn as a ball-cap wearing, charming worm who expresses a surprising range of emotions through body language and his mouth. Noodle & Lou is an old-fashioned story about the importance of friendship. It is aimed at children ages 4-6. Recommended with reservations: 2 out of 4 stars Reviewer: Tami Oliphant
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.304 | 0.280 |
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".