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Record W2001299150 · doi:10.15273/dmj.vol40no2.4575

Clash of Confidence and Responsibility in Scientific Publishing

2014· article· en· W2001299150 on OpenAlex
Dragan Pavlović, Taras Usichenko, Christine Lehmann

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.
venuePublished in a venue whose home country is Canada.

Bibliographic record

VenueDalhousie Medical Journal · 2014
Typearticle
Languageen
FieldArts and Humanities
TopicPhilosophy and History of Science
Canadian institutionsDalhousie University
Fundersnot available
KeywordsPublishingReputationPublicationQuality (philosophy)Scientific publishingValue (mathematics)Public relationsPolitical scienceSociologyComputer scienceLawEpistemologyPhilosophy

Abstract

fetched live from OpenAlex

Scientific publishing is a highly responsible enterprise that involves shared responsibilities between the authors and the publisher. It is based on mutual trust and on the principles of respect of freedom of expression of ideas. The author is responsible for the content of the article and for the truthfulness of the affirmations while the publisher verifies the formal coherency of the articles and is seldom engaged in the verification of the truthfulness of the original content. Publishing bad science is damaging to the scientific community and society as a whole. It has been shown that there are scientific journals that publish without much control over the form and content of the papers. Such journals usually have low impact on the scientific community. Damage that is made by publishing bad papers and bad research in an unimportant journal is small in comparison to the damage that may be and is often produced if the article is well written but contains trivial results and unsound conclusions and yet is published in a journal of high reputation. Some measures are proposed that could, by improving the reviewing procedure, also affect the quality of the publishing of science. It would also help if, when judging the scientific value of an article, the scientific community were to pay less attention to the fame of a journal or to various quality indicators, but consider more directly the quality of the research itself.

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)0.006
metaresearch head score (Gemma)0.003
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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.640
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.003
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.000
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 head0.038
GPT teacher head0.247
Teacher spread0.209 · 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