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PUBLISHING BIOETHICS AND <i>BIOETHICS</i> – REFLECTIONS ON ACADEMIC PUBLISHING BY A JOURNAL EDITOR

2010· article· en· W2138673945 on OpenAlexaff
Udo Schüklenk

Bibliographic record

VenueBioethics · 2010
Typearticle
Languageen
FieldSocial Sciences
TopicAcademic integrity and plagiarism
Canadian institutionsQueen's University
Fundersnot available
KeywordsPublishingBioethicsEnforcementImpact factorPolitical scienceAcademic integrityLibrary scienceSociologyMedia studiesLawComputer science

Abstract

fetched live from OpenAlex

This article by one of the Editors of Bioethics, published in the 25th anniversary issue of the journal, describes some of the revolutionary changes academic publishing has undergone during the last decades. Many humanities journals went from typically small print-runs, counting by the hundreds, to on-line availability in thousands of university libraries worldwide. Article up-take by our subscribers can be measured efficiently. The implications of this and other changes to academic publishing are discussed. Important ethical challenges need to be addressed in areas such as the enforcement of plagiarism-related policies, the so-called 'impact factor' and its impact on academic integrity, and the question of whether on-line only publishing can currently guarantee the integrity of academic publishing histories.

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)0.079
metaresearch head score (Gemma)0.185
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Research integrity
Consensus categoriesnone
DomainCandidate signal: Evaluation · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.967
Threshold uncertainty score0.417

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0790.185
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0020.003
Science and technology studies0.0190.028
Scholarly communication0.0400.045
Open science0.0050.009
Research integrity0.0330.052
Insufficient payload (model declined to judge)0.0050.002

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 head0.133
GPT teacher head0.417
Teacher spread0.284 · 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
DomainEvaluation
GenreCommentary

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

Citations6
Published2010
Admission routes1
Has abstractyes

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