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Record W4360874879 · doi:10.1111/aehr.12261

Editor's report for 2022

2023· article· en· W4360874879 on OpenAlexaff
Kris Inwood

Bibliographic record

VenueAsia‐Pacific Economic History Review · 2023
Typearticle
Languageen
FieldArts and Humanities
TopicHistorical Studies and Socio-cultural Analysis
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsLibrary scienceArt historyHistoryComputer science

Abstract

fetched live from OpenAlex

2022 was the journal's 62nd consecutive year of publication and its last volume under the name Australian Economic History Review. The journal is now known as the Asia-Pacific Economic History Review. The new name recognises the journal's breadth and diversity. We regularly publish important research in economic history and cognate subject areas for a broad Asia-Pacific region extending from the Pacific coast of the Americas to east, south and southeast Asia. The new name signifies no change in the journal's editorial focus or mission. Case studies, global and comparative economic development, and the economic history of Australia and New Zealand continue to be important. Rather, the new name more accurately reflects the journal's content. The journal is changing in other ways. It is now primarily an online journal with the option for EHSANZ members to obtain a print-on-demand subscription. Another change is the increasing share of articles that are open access. In large part, this is driven by agreements between the publisher Wiley and a fast-growing list of universities whose faculty and students may publish open access at no cost. See https://authorservices.wiley.com/author-resources/Journal-Authors/open-access/affiliation-policies-payments/institutional-funder-payments.html. The work of the journal depends critically on a large number of referees, who carefully read and report constructively on individual manuscripts. We are grateful for the conscientious service of these reviewers. We recognise a small number of colleagues who provided especially meritorious manuscript assessments in 2022. They are Michael Andrews (University of Maryland, Baltimore County), Ari Kokko (Copenhagen Business School), Kota Ogasawara (Tokyo Institute of Technology), John Wilson (University of South Australia), Dorian Owen (University of Otago), and Brian Varian (Newcastle University). We all owe a substantial debt to the hard work of the journal's Associate Editors, who support authors through multiple revisions (if necessary) to achieve the highest possible standards of scholarship. The Associate Editors are Sumner La Croix, Dan Li, Chicheng Ma, Hamish Maxwell-Stewart, Jim McAloon, Florian Ploeckl and, new in 2023, Brian Varian. Brian leaves the Editorial Board; Pauline Grosjean and former editor Andrew Seltzer come onto the Board with the first issue of 2023. The full Board and editorial team along with their affiliations are listed at https://onlinelibrary.wiley.com/page/journal/2832157x/homepage/editorialboard.html. Special thanks to Lionel Frost, President of the Economic History Society of Australia and New Zealand who supports the journal wonderfully and to Claire Wright, who pioneered and until this year managed the journal's social media outreach. The Twitter handle remains the same @EcoHistoryAU. The journal's mastodon account is @[email protected]. Lastly, I am delighted to convey that the Sir Timothy Coghlan award for best paper in the journal last year, by decision of the Editorial Board, went to ‘The legacy of colonial rule: On the impact of the railway zones in modern China’ https://doi.org/10.1111/aehr.12239 by Nan Li and Baomin Dong. The article convincingly argues that some but not all investments in colonial railroads by Japan and Russia had persisting influences on the long-run pattern of economic development in northeast China. Also, shortlisted were ‘Above board? Interlocking directorates and corporate contagion in 1980s Australia’ https://doi.org/10.1111/aehr.12251 by Claire E.F. Wright and ‘A Fabian paradise or a one-man show? How the interwar Queensland economy seduced two prominent English economists’ https://doi.org/10.1111/aehr.12238 by Alex Millmow. The editorial team congratulates the authors of these fine articles. The full contents of volume 62 (2022) are listed at https://doi.org/10.1111/aehr.12254.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.503
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0060.003

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 head0.047
GPT teacher head0.240
Teacher spread0.193 · 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
GenreOther

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
Published2023
Admission routes1
Has abstractyes

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