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Record W4243627803 · doi:10.20361/g2qs4m

NEWS & ANNOUNCEMENTS

2017· article· en· W4243627803 on OpenAlexvenueaboutno aff
Hanne Pearce

Bibliographic record

VenueThe Deakin Review of Children s Literature · 2017
Typearticle
Languageen
FieldArts and Humanities
TopicThemes in Literature Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsHonourTheme (computing)HistoryMedia studiesOrder (exchange)Library scienceArt historyPolitical scienceSociologyLaw

Abstract

fetched live from OpenAlex

Greetings everyone! Just a few news items for this issue:New Award for Children’s BooksThe Canadian Children’s Book Centre has announced a new children’s literature award, the Harry Black Picture Book Award. The award will honour the best French-language children’s book and comes with a $5,000 cash prize. The first award will be announced in Montreal at this year’s Prix TD Gala in November. The award is being established in honour of the late Harry Black, Order of Canada recipient and former director of UNICEF Canada. More information about entry requirements in French are available on the Canadian Children’s Book Centre website.TD Canada Book WeekTD Canadian Children’s Book Week 2017 runs from Saturday, May 6 to Saturday, May 13, 2017. Thirty Canadian children’s authors, illustrators, and storytellers will be visiting schools, libraries, community centres, and bookstores across Canada throughout the week. This year Book Week is celebrating its 40th anniversary, along with Canada’s sesquicentennial. The theme this year is Read across Canada. You can find more information about Book Week, pre-order posters, and view the tour schedule at the the Book Week Website.International Research Society for Children’s Literature (IRSCL) Congress 2017This event will be held Saturday, July 29 through Wednesday, August 2, 2017 at York University (Keele Campus) in Toronto, Canada.For more info: http://irscl17.info.yorku.ca/ Best wishes for a warm and wonderful spring!

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.780
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0020.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.020
GPT teacher head0.282
Teacher spread0.261 · 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.

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
Published2017
Admission routes2
Has abstractyes

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