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Trends in the development of book printing and book distribution in the world's leading countries through the lens of reading problems

2022· article· en· W4210743924 on OpenAlexaboutno aff
Larуsa Tatarinova

Bibliographic record

VenueВісник Книжкової палати · 2022
Typearticle
Languageen
FieldComputer Science
TopicLibrary Science and Information
Canadian institutionsnot available
Fundersnot available
KeywordsPublishingExhibitionReading (process)Active listeningEntertainmentDistribution (mathematics)State (computer science)AdvertisingMedia studiesPolitical scienceArtBusinessSociologyVisual artsLawComputer science

Abstract

fetched live from OpenAlex

The features of book distribution systems in different countries of the world are investigated. The role of book clubs and book chains in the way of a book to its reader is revealed. The leading role of the state support for book publishing is outlined. Factors of state support for book publishing and book distribution, such as creating reading development programs, facilitating the opening of new bookstores, organizing book fairs, exhibitions, festivals and other events to support the book, establishing literary prizes and competitions, replenishing library funds, protecting copyright, have been identified. Possibilities of introduction of experience of leading countries of the world (in particular Canada) in support of book publishing and book distribution industry, such as granting of preferential credits, influence on book pricing, introduction of a "fixed" price during book realization, are investigated. The media habits of the inhabitants of different countries of the world have been researched, it has been found out how much time a person spends watching TV programs, listening to music on the radio, reading. Although in the modern world, residents are spending less and less time on the book, preferring other types of entertainment and leisure, the books are no less printable, book publishing remains a large business, valued at $ 151 billion and generating more than cinema, magazines, video games and music. In an effort to survive, book publishers are united in media conglomerates, most of their profits are from book sales. The readers' preferences been investigated. The competitiveness of paper and e-books has been investigated too. The advantages of paper books over e-books have been proved. Research shows that e-books are growing in popularity, but growth has slowed slightly since 2016. It is emphasized that paper books are the basis of reader's attention and demand.

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)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.035
Threshold uncertainty score0.069

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0080.022
Science and technology studies0.0020.003
Scholarly communication0.0080.004
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0130.001

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 head0.025
GPT teacher head0.244
Teacher spread0.219 · 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 designObservational
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
Published2022
Admission routes1
Has abstractyes

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