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Record W7042743224

Publishing Diversity with The Boy & The Bindi: A Case Study of the First Children’s Picture Book From Arsenal Pulp Press

2017· other· en· W7042743224 on OpenAlexaboutno aff

Bibliographic record

VenueSummit (Simon Fraser University) · 2017
Typeother
Languageen
FieldSocial Sciences
TopicRussian Literature and Bakhtin Studies
Canadian institutionsnot available
Fundersnot available
KeywordsPublishingDiversity (politics)History of the book
DOInot available

Abstract

fetched live from OpenAlex

This report is a study of the creation process and marketing campaign of The Boy & The Bindi by Vivek Shraya: the first-ever children’s picture book produced by Arsenal Pulp Press, an independent publisher based in Vancouver, British Columbia. The opening chapter will provide information concerning the lack of diversity in children’s books as of 2016. Chapter Two will walk readers through the editorial and design processes of the picture book and its lasting effects on the press. The third chapter discusses the media coverage the book received and how authors who are willing to promote themselves benefit a publisher. In the fourth and final chapter, the future of publishing children’s books at Arsenal will be explored, with a brief look at how a second title was acquired. Recommendations will follow pertaining to how Arsenal can move forward with publishing future children’s picture books.

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)0.004
metaresearch head score (Gemma)0.012
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.036
Threshold uncertainty score0.076

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.012
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.005
Science and technology studies0.0300.012
Scholarly communication0.0110.007
Open science0.0030.007
Research integrity0.0030.006
Insufficient payload (model declined to judge)0.0100.001

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 head0.018
GPT teacher head0.224
Teacher spread0.206 · 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 designQualitative
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 routes1
Has abstractyes

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