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Record W1998874638 · doi:10.1159/000120905

The Editors’ Labours: Separating the Wheat from the Chaff

2008· article· en· W1998874638 on OpenAlex
Robin P. Humphreys, Donald H. Reigel, Fred J. Epstein

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenuePediatric Neurosurgery · 2008
Typearticle
Languageen
FieldMedicine
TopicHistory of Medical Practice
Canadian institutionsHospital for Sick Children
Fundersnot available
KeywordsChaffPresentation (obstetrics)Grading (engineering)MedicineEditorial boardPeer reviewQuality (philosophy)Public relationsMedical educationLawLibrary scienceComputer scienceHistoryPolitical scienceSurgeryEpistemologyEngineering

Abstract

fetched live from OpenAlex

From the author's standpoint, the editor is viewed as 'one who separates the wheat from the chaff and then prints the chaff'! Since its inception, Pediatric Neurosurgery has tried to provide the reader with the guarantee that only the 'wheat' is published. This paper will examine the policies of the journal's Editorial Board and in particular outline the review process for submitted manuscripts. In addition to certain operational items, the paper will consider how the 'peer' in 'peer review' is identified, the grading instruments for paper acceptance, the likelihood that the readers and peer reviewers agree on manuscript quality, and how authors should view failure. The Society is firmly committed to our journal. Our individual responsibilities begin with paper preparation and then its presentation at the annual meeting. Thereafter, it is important for the membership to appreciate that their participation, as either author and/or reviewer, is critical for the continued success of our 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.

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)0.009
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies
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 score0.106
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.001

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 head0.030
GPT teacher head0.268
Teacher spread0.238 · 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