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Record W4367322993 · doi:10.3138/jsp-2022-0019

Publishing Nationally or Internationally in the Humanities and Social Sciences: What Do Journal Websites Say about the Divide?

2023· article· en· W4367322993 on OpenAlexvenueno aff
Ningyang Chen

Bibliographic record

VenueJournal of Scholarly Publishing · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicWikis in Education and Collaboration
Canadian institutionsnot available
Fundersnot available
KeywordsPublishingContext (archaeology)SolidarityPublicationSocial scienceSociologyPolitical scienceDimension (graph theory)PoliticsAsideMedia studiesPublic relationsLibrary scienceLawGeography

Abstract

fetched live from OpenAlex

As scholarly publishing continues to expand its international dimension in the globalizing era, authors in non-Anglophone contexts today are increasingly confronted with the decision to publish nationally or internationally. Linguistic challenges aside, such a decision is complicated by the tension between local interests and international solidarity with changing conventions of scholarly publishing in the national context. This study investigated one facet of this tension by comparing national and international publishing activities in the humanities and social sciences based on the data collected from the websites of sixty Chinese-medium national journals and sixty English-medium international journals. The findings point to a complex interplay between local and international traditions, norms, and politics of knowledge production. What these changes mean and how they may bear on author choice is discussed with implications for understanding the dynamic landscape of scholarly publishing in non-Anglophone systems of knowledge production.

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)0.016
metaresearch head score (Gemma)0.065
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesScholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.984
Threshold uncertainty score0.083

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0160.065
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0060.008
Science and technology studies0.0040.008
Scholarly communication0.0160.017
Open science0.0010.004
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0040.001

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 head0.110
GPT teacher head0.362
Teacher spread0.253 · 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 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

Citations2
Published2023
Admission routes1
Has abstractyes

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