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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

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

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)0.006
metaresearch head score (Gemma)0.032
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Editorial · Consensus signal: Editorial
Teacher disagreement score0.285
Threshold uncertainty score0.952

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.032
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0020.001
Science and technology studies0.0030.001
Scholarly communication0.0090.004
Open science0.0030.003
Research integrity0.0120.008
Insufficient payload (model declined to judge)0.2850.213

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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEditorial

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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