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Record W4210587663 · doi:10.1183/13993003.00037-2022

The evolution of the <i>European Respiratory Journal</i> : adapting in an era of change

2022· editorial· en· W4210587663 on OpenAlexaff
James D. Chalmers, Martin Kolb

Bibliographic record

VenueEuropean Respiratory Journal · 2022
Typeeditorial
Languageen
FieldSocial Sciences
TopicDelphi Technique in Research
Canadian institutionsMcMaster UniversitySt. Joseph’s Healthcare Hamilton
Fundersnot available
KeywordsTributeEditorial boardPolitical scienceEditor in chiefLibrary scienceMedicineHistoryManagementLawComputer scienceEconomics

Abstract

fetched live from OpenAlex

This will be our final new year editorial, as in September we will make way for a new editorial team who can continue the evolution of the European Respiratory Journal . Here, we want to look back on some of the highlights of a remarkable year at the ERJ and pay tribute to the pillars of the journal's success, our editors, reviewers and the editorial staff who have worked so hard throughout our 5-year tenure. Editorial review of 2021: look back on some of the highlights of a remarkable year at the European Respiratory Journal

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)0.030
metaresearch head score (Gemma)0.132
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesScholarly communication
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 score0.977
Threshold uncertainty score0.159

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0300.132
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0040.002
Science and technology studies0.0060.006
Scholarly communication0.0230.007
Open science0.0030.003
Research integrity0.0100.016
Insufficient payload (model declined to judge)0.0110.008

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 head0.155
GPT teacher head0.400
Teacher spread0.245 · 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 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

Citations1
Published2022
Admission routes1
Has abstractyes

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