MétaCan
Menu
Back to cohort
Record W1562859810 · doi:10.20361/g2hg7s

Whatever After: Fairest of All by S. Mlynowski

2013· article· en· W1562859810 on OpenAlexvenueaboutno aff
Trish Chatterley

Bibliographic record

VenueThe Deakin Review of Children s Literature · 2013
Typearticle
Languageen
FieldArts and Humanities
TopicThemes in Literature Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsBrotherSisterAdventureWhite (mutation)Character (mathematics)Action (physics)ArtArt historyHistoryLawPolitical scienceMathematicsPhysics

Abstract

fetched live from OpenAlex

Mlynowski, Sarah. Whatever After: Fairest of All. New York: Scholastic Press, 2012. Print Ten-year-old Abby has just moved to Smithville with her parents and younger brother Jonah, and life just isn’t the same. One night, the two siblings knock on the creepy mirror in the basement and are instantly sucked into a fairytale land. They need to get home, but don’t know how to get there. They find themselves at the cottage where Snow White is living with the Seven Dwarfs, just as the evil stepmother in disguise is offering up a red apple to eat. They intervene and save Snow White from being poisoned! Initially they are pleased about this, but soon realize that they have interfered with Snow’s future and she won’t meet her Prince Charming. They decide to stay with Snow until they can set things right and ensure she lives happily ever after, enjoying many adventures along the way. This is the first story in a new series of modern fairy tale retellings (the second book will recount what happens to Cinderella when Abby shows up!). It’s an amusing and easy read with lots of action. Abby and Jonah have a pretty typical relationship, with a bossy older sister ordering around her rambunctious younger brother, and so they behave as you would expect. Abby is practical, but funny, and will always accomplish what she sets out to do. She therefore presents a strong female character with whom young girls can connect. The tale ends in such a way that the reader can be sure of more humorous exploits to come.Highly Recommended: 4 out of 4 starsReviewer: Trish ChatterleyTrish is a Public Services Librarian for the John W. Scott Health Sciences Library at the University of Alberta. In her free time she enjoys dancing, gardening, and reading books of all types.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.133
Threshold uncertainty score0.446

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0040.002
Scholarly communication0.0050.008
Open science0.0010.004
Research integrity0.0020.005
Insufficient payload (model declined to judge)0.1330.119

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.

Opus teacher head0.005
GPT teacher head0.212
Teacher spread0.207 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2013
Admission routes2
Has abstractyes

Explore more

Same venueThe Deakin Review of Children s LiteratureSame topicThemes in Literature AnalysisFrench-language works237,207