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Record W1970475751 · doi:10.3138/jsp.44.3.001

A Three-Decade History of the Duration of Peer Review

2013· article· en· W1970475751 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueJournal of Scholarly Publishing · 2013
Typearticle
Languageen
FieldDecision Sciences
Topicscientometrics and bibliometrics research
Canadian institutionsnot available
Fundersnot available
KeywordsReceiptDuration (music)Variety (cybernetics)HistoryLibrary scienceComputer scienceStatisticsMathematicsArtLiteratureWorld Wide Web

Abstract

fetched live from OpenAlex

Review time is the duration between submission of a manuscript for possible publication and the author's receipt of notification of the editor's decision. There are two key questions about the peer-review process: (1) Has average review time changed over the past several decades? and (2) Has the adoption of online submission reduced average review time? A sample of 170 manuscripts submitted to a variety of journals from 1980 through 2012 indicates (1) no statistically significant difference between average review time for manuscripts submitted to behavioural science journals (mean=14.8 weeks) and average review time for manuscripts submitted to natural history journals (mean=15.2 weeks); (2) a statistically significant decrease from 1980 to 2012 in average review time irrespective of form of submission (i.e., paper or electronic); and (3) manuscripts submitted in paper form (1980–2009) had an average review time five weeks longer than that of manuscripts submitted online or electronically (2004–2012).

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.

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)0.092
metaresearch head score (Gemma)0.442
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Bibliometrics, Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesMetaresearch, Bibliometrics, Scholarly communication
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.523
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0920.442
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0180.053
Science and technology studies0.0000.000
Scholarly communication0.0130.059
Open science0.0050.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.544
GPT teacher head0.494
Teacher spread0.051 · 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