MétaCan
Menu
Back to cohort
Record W4251534506 · doi:10.3138/jsp.35.2.73

Scholarly Journal Publication: Conflicting Agendas for Scholars, Publishers, and Institutions

2004· article· en· W4251534506 on OpenAlexvenueno aff
Cass T. Miller, Julianna Harris

Bibliographic record

VenueJournal of Scholarly Publishing · 2004
Typearticle
Languageen
FieldDecision Sciences
Topicscientometrics and bibliometrics research
Canadian institutionsnot available
Fundersnot available
KeywordsPublicationPublishingScholarly communicationWork (physics)Scientific communicationPublic relationsPolitical scienceProcess (computing)SociologyLibrary scienceLawComputer science

Abstract

fetched live from OpenAlex

There are four main parties involved in publishing scholarly scientific journals: scholars, who produce the work and are its ultimate consumers; editors, who manage the publication process; publishers, who publish the work; and subscribers, largely institutions, who purchase the work. Because of conflicting agendas, natural tensions exist among these four parties. At the same time, some recent and ongoing trends have exacerbated these tensions: the rate at which new information is being produced, the growth of electronic communication, and the strained budgets of many institutions. This article summarizes these aspects of the scholarly communication environment, assesses some of the reasons for the current situation, and provides a commentary on what the future might bring. The current situation in scholarly scientific journal publications cannot be sustained; therefore, it is necessary for all the parties to collaborate in creating an environment of mutual respect, sharing ownership of the problems, and encouraging efforts to move toward a sustainable system.

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)0.213
metaresearch head score (Gemma)0.228
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Bibliometrics, Scholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.990
Threshold uncertainty score0.970

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.2130.228
Meta-epidemiology (narrow)0.0010.002
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0100.016
Science and technology studies0.0380.061
Scholarly communication0.1050.053
Open science0.0070.035
Research integrity0.0250.028
Insufficient payload (model declined to judge)0.0040.003

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 head0.606
GPT teacher head0.547
Teacher spread0.060 · 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.

Study designTheoretical or conceptual
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

Citations15
Published2004
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Scholarly PublishingSame topicscientometrics and bibliometrics researchFrench-language works237,207