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Record W4210383847 · doi:10.1175/1520-0477-84.8.1089

45 BEACON

2003· article· en· W4210383847 on OpenAlexfundno aff
Lance F. Bosart, David Atlas, T. N. Krishnamurti, T. N. Palmer, Susan L. Solomon, Kevin E. Trenberth, Eric F. Wood, Carl Wunsch, Timothy C. Barnett, Christopher Garrett, Nelson G. Hogg, Julian P. McCreary, James C. O’Brien

Bibliographic record

VenueBulletin of the American Meteorological Society · 2003
Typearticle
Languageen
FieldArts and Humanities
TopicPublishing and Scholarly Communication
Canadian institutionsnot available
FundersConnaught FundFrances McClelland Institute for Children, Youth, and Families
KeywordsEnvironmental scienceMeteorologyComputer scienceGeography

Abstract

fetched live from OpenAlex

recently had the privilege of participating in a formal debate that was held as the closing session of the Society for Scholarly Publishing (SSP) Annual Meeting. The topic of the debate was: "Be it resolved . . . that it is time to kill print" This represented a timely and provocative topic among this crowd of publishers (both nonprofit and for profit), publishing vendors, and librarians. Each side had two debaters (a librarian paired with a publisher), and the teams chose which side of the resolution to argue more or less by lot. My debating partner and I ended up on the side arguing in favor of the resolution--that is, that all of us who publish journals should stop printing them and only deliver the content online. This is an issue the AMS must face at some point, so it seems appropriate to use this column to relate the substance of this session. Even though the debate format was intended to provide an enjoyable and somewhat lighthearted closing event for the SSP meeting, ever/one in the audience that afternoon has been seriously grappling with the "if, when, and how" of discontinuing print journals in favor of online delivery.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.570
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.028
GPT teacher head0.228
Teacher spread0.200 · 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.

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

Citations1
Published2003
Admission routes1
Has abstractyes

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