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Record W4235915932 · doi:10.3138/jsp.42.1.31

Where Will the Next Generation of Publishers Come From?

2010· article· en· W4235915932 on OpenAlexvenueno aff
Alison Baverstock

Bibliographic record

VenueJournal of Scholarly Publishing · 2010
Typearticle
Languageen
FieldArts and Humanities
TopicPublishing and Scholarly Communication
Canadian institutionsnot available
Fundersnot available
KeywordsPublishingExcellencePublic relationsProcess (computing)WorkforceWork (physics)MarketingBusinessPolitical scienceSociologyEconomicsComputer scienceEngineeringEconomic growth

Abstract

fetched live from OpenAlex

This essay considers how publishing (the concept and the associated industry) is understood within society and how to spread understanding of both the processes involved and the job opportunities available. It examines traditional publishing recruitment practices and the skills and competencies sought. It considers the role of publishing within the academy, its arrival and reception, and how this is changing as more sector-specific research is published. It looks at course content on an international basis, how this matches the skills likely to be needed by future publishers, and the role of the work placement. Finally, it examines the process of widening and diversifying recruitment, as well as the practical measures being taken to assist in this process. The author makes a series of recommendations on how to spread understanding of the publishing industry and present it as an attractive option to the future workforce; promote a move to meet the needs of a wider cross-section of society through encouraging more people to read and gain the quantified benefits thereof; prioritize excellence in information management and dissemination; and spread the habit of buying published resources beyond traditional markets.

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)0.006
metaresearch head score (Gemma)0.007
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScholarly communication, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesScholarly communication
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.453
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.1630.334
Open science0.0030.000
Research integrity0.0000.005
Insufficient payload (model declined to judge)0.0010.000

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 head0.104
GPT teacher head0.254
Teacher spread0.150 · 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

Citations1
Published2010
Admission routes1
Has abstractyes

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