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Record W4246479737 · doi:10.3138/jsp.37.1.1

Journals as Innovators and the Innovation of Journals: The Council of Editors of Learned Journals Keynote Addresses MLA Convention 2004

2005· article· en· W4246479737 on OpenAlexvenueno aff
Willis Goth Regier, James English, David C. Hanson

Bibliographic record

VenueJournal of Scholarly Publishing · 2005
Typearticle
Languageen
FieldArts and Humanities
TopicPublishing and Scholarly Communication
Canadian institutionsnot available
Fundersnot available
KeywordsTheme (computing)ConventionSociologyMedia studiesLibrary scienceSocial scienceComputer science

Abstract

fetched live from OpenAlex

At the 2004 conference of the Modern Language Association in Philadelphia, the theme for the keynote session of the Council of Editors of Learned Journals (CELJ) was ‘Journals as Innovators and the Innovation of Journals’ — an idea suggested to us by Hayden Ward, retiring editor of Victorian Poetry (VP). VP itself has been as instrumental in prodding innovation in Victorian studies as in responding to change; likewise, all journals in the humanities aspire to help lead their respective fields, as well as to register how their fields are leading them. A related theme is how journal editors, precisely in thinking about ways to innovate, must periodically remake their journals; and how scholars who may be altogether new to editing, but who wish to speak to emerging fields, must invent new journals to spread the word. To address the latter theme, CELJ invited Willis Regier, who directs the University of Illinois Press, to offer recommendations about the new and ongoing lives and liveliness — and, occasionally, deaths — of university press journals. To address the former, CELJ asked James English, professor of English and comparative literature and chair of the English Department at the University of Pennsylvania, to discuss ways in which even the most forward-looking of journals in the humanities, Postmodern Culture, which he co-edited with Lisa Brawley for five years, could profit by re-examining its claims to being innovative. Both keynotes, edited for publication in JSP, provide a valuable distillation of their authors' scholarly and practical wisdom.

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)0.050
metaresearch head score (Gemma)0.039
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Scholarly communication, Research integrity
Consensus categoriesMetaresearch, Scholarly communication
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.558
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0500.039
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0230.074
Open science0.0020.000
Research integrity0.0000.004
Insufficient payload (model declined to judge)0.0000.000

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 head0.157
GPT teacher head0.314
Teacher spread0.157 · 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

Citations0
Published2005
Admission routes1
Has abstractyes

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