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Record W4415258922 · doi:10.58430/jib.v131i3.81

Reflections

2025· article· W4415258922 on OpenAlexaff
David Quain

Bibliographic record

VenueJournal of the Institute of Brewing · 2025
Typearticle
Language
FieldBusiness, Management and Accounting
TopicWine Industry and Tourism
Canadian institutionsCentral City Brewers and Distillers (Canada)
Fundersnot available
KeywordsImpact factorScopusBrewingPerformance indicatorProcess (computing)

Abstract

fetched live from OpenAlex

This issue of Reflections focuses on numbers, with the release of the 2024 Journal Impact Factor and CiteScore, the new ‘1000 club’ and updated KPIs. The Journal Impact Factor for the Journal of the Institute of Brewing in 2022/23 is 2.0 with a Scopus CiteScore for 2021-24 of 4.8. The ‘1000 club’ celebrates the five publications since 2023 with greater than a 1000 ‘reads’. The four ‘key performance indicators’ (KPIs) segment key steps in the process from submission to publication and are reported for each issue in 2025 compared with consolidated KPIs for 2023/24.

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)0.001
Version: codex-gemma-dda1882f352aValidation 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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.549
Threshold uncertainty score0.583

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.002
Open science0.0010.000
Research integrity0.0000.001
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 head0.032
GPT teacher head0.294
Teacher spread0.262 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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
Published2025
Admission routes1
Has abstractyes

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