MétaCan
Menu
Back to cohort
Record W2310260529 · doi:10.20361/g26k71

The Magnificent Tree by N. Bland

2014· article· en· W2310260529 on OpenAlexvenueaboutno aff
Andrea Deakin

Bibliographic record

VenueThe Deakin Review of Children s Literature · 2014
Typearticle
Languageen
FieldArts and Humanities
TopicThemes in Literature Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsSimple (philosophy)PleasureCreativityMedia studiesSet (abstract data type)Art historySociologyVisual artsPsychologyArtComputer sciencePhilosophySocial psychology

Abstract

fetched live from OpenAlex

Bland, Nick. The Magnificent Tree. Illus. Stephen Michael King. Toronto: Scholastic Canada, 2013. Print.“Bonny and Pop were always bursting with ideas. Bonny’s ideas are clever yet simple, Pop’s are “big, brave and brilliant.” Nick Bland’s direct, down-to-earth text is constantly “set up” by Stephen King’s wildly inventive illustrations. Thus, when Bonny and Pop decide they wish to encourage the birds to stay nearby, they set about making a tree, each in their own way. Pop’s method is, as you may guess, big and brave, indeed his idea is so complex “it could not fit in his head all at once”. Bonny’s is simple- it basically fits into the palm of her hand. The results are fantastic, and simple, and “Just perfect.”This seems a simple story, but it has so much wit, gentleness and creativity in it, and so much to discover- both obvious and implied, that there are hours of pleasure in it.Each way of looking at life, Bonny’s or Pop’s, and each unique creation gives a text that is simple and clever and illustrations that are both bold and brave.This is the first time that the Australian author and illustrator have worked together. May the partnership continue.Highly Recommended: 4 out of 4 starsReviewer: Andrea DeakinAndrea has been involved with books since she was class librarian in Primary School, Student Librarian in Grammar School, student librarian for the Education Faculty when she was a student, and school librarian in schools both in England and in Canada, except for the first two years in Canada where she arrived in 1959. When she retired from teaching ( English and History) she was invited to review in February 1971, and continued to review for press, radio, and finally on the Internet (Deakin Newsletter from Okanagan College) until she retired in 2011. Forty years seemed sufficient- although she still cannot keep her nose out of good children's and YA fare.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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: Review · Consensus signal: none
Teacher disagreement score0.784
Threshold uncertainty score0.458

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.004
GPT teacher head0.211
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 teacher head, not a consensus.

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

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
Published2014
Admission routes2
Has abstractyes

Explore more

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