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Record W2969989490 · doi:10.29252/ijn.32.117.1

“Editorial Letter”Managing Authorship Conflicts: A Guide for Researchers

2019· article· en· W2969989490 on OpenAlexaff
Soodabeh Joolaee

Bibliographic record

VenueIran Journal of Nursing · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicAcademic integrity and plagiarism
Canadian institutionsProvidence Health CareCentre for Health Evaluation and Outcome Sciences
Fundersnot available
KeywordsPsychology

Abstract

fetched live from OpenAlex

Nowadays, the issue of Authorship has increasingly expanded in the academic world and has resulted in a lot of problems for scholars and the editorial board of scientific Journals. Given the increasing number of postgraduate students and subsequent research activities, every day we witness the formal and informal arguments on the ambiguity and unfairness of decisions regarding authors' names and the dissatisfaction of students and professors in this regard. These discontents make it clearer that there is an urgent need for the policies that address the road map for researchers. Knowing about these policies and their practical application can play an effective role in preventing potential misuse and managing common disputes over authorship. Authorship is a proper method of assigning responsibility and giving credit for doing intellectual work to individuals. The credit is given to an individual to collaborate on research and its importance in fostering reputation and support for academic promotion for the author and increasing the strength and credibility of the affiliated organizations. Individuals violate ethical principles in authorship in a variety of ways; sometimes by placing names of people who did not have a role in doing research or played a very small role, and sometimes by removing the names of people who have been involved in a part of the research. Preventing such events is always better than confronting it after the occurrence. Many academic institutions and organizations, such as universities and research institutes, have developed standards for authorship, although they are similar in basic principles, may vary somewhat over time and from one discipline to another. Various motivations may reinforce the temptation to violate these standards and fundamental principles in individuals. For example, young researchers may believe that putting senior faculty names in the list of authors can increase the credibility of the paper and the chance of accepting it for publication, or not placing the names of people who own power, would endanger their job position. Sometimes, investment in expanding job and research opportunities and receiving financial support may encourage researchers to add people's names, conflicting with the authorship standards. The responsibility for deciding to give authorship credit when publishing the results of research activities in journals is to those who have conducted the research. Sometimes there may be disagreements about the authors of the product of an intellectual effect, which usually interfere with the work. Researchers need to be aware of and apply the principles of authorship, which usually referred to in the section of author's guideline in each journal. As well, the documentation of ethical codes in publications should always be considered an acceptable source. One of the important points to prevent possible disagreements is that the authorship criteria are agreed upon by all members of the research team in the first phase of the research. Whenever possible, it is recommended that written records of authorship decisions be maintained by the team leader and, if necessary, revised by the team members according to the role and participation of individuals during the research. Harvard Medical Schoo considers the basic principles of authorship as:

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)0.008
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.571
Threshold uncertainty score0.644

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0080.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.152
GPT teacher head0.437
Teacher spread0.285 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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

Citations0
Published2019
Admission routes1
Has abstractyes

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