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Record W7017988739

Classic Children's Books Collection 0

2024· article· en· W7017988739 on OpenAlexaboutno aff

Bibliographic record

VenueVědecká knihovna v Olomouci (Research Library in Olomouc) · 2024
Typearticle
Languageen
FieldArts and Humanities
TopicThemes in Literature Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsAdventureMAGIC (telescope)FavouritePerformance art
DOInot available

Abstract

fetched live from OpenAlex

Dive into this joyous collection of classical children’s books from some of the best writers for little hearts and young minds.Uncover the magic of childhood classics from ´Anne of Green Gables´, ´The Wind in the Willows´, and ´The Secret Garden´ to ´The Velveteen Rabbit´ and ´The Wonderful Adventures of Nils´.Follow one girl's search for belonging, go on thrilling adventures with our favourite furry friends, discover a magical garden, learn about love and reality with a toy rabbit, and join one boy as he embarks on fantastical farmland adventures!Weaving a touching and intoxicating collection of coming-of-age tales, this ‘Classic Children's Books Collection’ is the perfect companion for fans of Netflix’s ‘Anne with an E’.Lucy Maud Montgomery (1874-1942) was a Canadian author and poet. Best known for her novel ‘Anne of Green Gables’, it remains one of the best-selling books worldwide and has been adapted for both stage and screen.Kenneth Grahame (1859-1932) was a British writer born in Edinburgh, Scotland. He is most famous for the children’s classics ‘The Wind in the Willows’ and ‘The Reluctant Dragon’.Frances Hodgson Burnett (1849-1924) was a British-American novelist and playwright. Best known for her celebrated children’s novels, Burnett’s work spans ‘Little Lord Fauntleroy’, ‘A Little Princess’, and ‘The Secret Garden’.Selma Lagerlöf (1858-1940) was a Swedish author and the first woman to win the Nobel Prize in Literature. Her work spans ‘The Saga of Goesta Berling’, ‘The Wonderful Adventures of Nils Holgersson’, and ‘Jerusalem’.

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 categoriesMeta-epidemiology (narrow), Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.537
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.002
Science and technology studies0.0010.001
Scholarly communication0.0030.003
Open science0.0010.001
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0200.002

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 head0.039
GPT teacher head0.294
Teacher spread0.255 · 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; both teacher heads agree on what is shown here.

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
Published2024
Admission routes1
Has abstractyes

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