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Record W2146704605 · doi:10.1503/cmaj.060687

Reliability of disclosure forms of authors' contributions

2006· article· en· W2146704605 on OpenAlexvenueno aff
Vesna Ilakovac, Kristina Fišter, Matko Marušić, Ana Marušić

Bibliographic record

VenueCanadian Medical Association Journal · 2006
Typearticle
Languageen
FieldDecision Sciences
Topicscientometrics and bibliometrics research
Canadian institutionsnot available
Fundersnot available
KeywordsChecklistProxy (statistics)Reliability (semiconductor)PsychologyTest (biology)Computer scienceCognitive psychology

Abstract

fetched live from OpenAlex

BACKGROUND: The contribution disclosure forms used by medical journals to assess and confirm authorship are surveys of self-reported behaviour that follow the cognitive rules of psychometric instruments. We sought to analyze how autobiographical memory, defined as memory for events and issues related to oneself, affected the reliability of contribution forms for the judging of authorship of research articles. METHODS: We conducted a prospective study, which ultimately included 919 authors of 201 articles submitted to a general medical journal from July 2001 through December 2002. A authorship disclosure form with a checklist of 11 possible contribution choices for all authors was sent first to each article's corresponding author, who was asked to fill it out for all authors. A blank form was then sent to each author individually to disclose his or her own contribution to that article. The main outcome measure was test- retest differences between the corresponding authors' self-declarations, expressed in percent as the gross difference rate (GDR) for each article. RESULTS: More than two-thirds of the corresponding authors (69.7%) differed in at least 1 contribution choice between the 2 disclosure statements made about their own contributions. The reliability of their answers was low to moderate (GDRs > 10%), especially for contributions on the provision of study materials or patients or final approval of the article (GDR 22.9%), guarantor of the study (GDR 20.9%) and drafting of the manuscript (GDR 20.4%). As a proxy for their coauthors' contributions, corresponding authors also differed from them in the perception of noncorresponding authors' contributions, disagreeing in 69.4% of cases. Of the 718 noncorresponding authors, 204 (28.4%) met all the criteria for authorship set out by the International Committee of Medical Journal Editors according to the statement given by the corresponding author. When they described their own contributions, this prevalence increased to 40.5%. INTERPRETATION: Psychological factors such as autobiographical memory may confound contribution disclosures as an evaluation tool for authorship on scientific articles and affect responsible authorship and publication practices.

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)0.052
metaresearch head score (Gemma)0.186
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Bibliometrics, Insufficient payload (model declined to judge)
Consensus categoriesMetaresearch, Bibliometrics
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.134
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0520.186
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0120.044
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.103
GPT teacher head0.465
Teacher spread0.362 · 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; both teacher heads agree on what is shown here.

Study designObservational
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

Citations94
Published2006
Admission routes1
Has abstractyes

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