MétaCan
Menu
Back to cohort
Record W2028754905 · doi:10.1186/1472-6939-15-42

Authorship ethics in global health research partnerships between researchers from low or middle income countries and high income countries

2014· article· en· W2028754905 on OpenAlex

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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueBMC Medical Ethics · 2014
Typearticle
Languageen
FieldMedicine
TopicGlobal Health and Surgery
Canadian institutionsMcGill UniversityUniversity of AlbertaCentre for Interdisciplinary Research in RehabilitationUniversité de Montréal
FundersSocial Sciences and Humanities Research Council of CanadaFaculty of Arts and SciencesInstitut pour la Recherche en Santé PubliqueUniversité de Montréal
KeywordsPublic relationsGlobal healthGeneral partnershipPolitical scienceResearch ethicsHealth careSociologyPsychologyLaw

Abstract

fetched live from OpenAlex

BACKGROUND: Over the past two decades, the promotion of collaborative partnerships involving researchers from low and middle income countries with those from high income countries has been a major development in global health research. Ideally, these partnerships would lead to more equitable collaboration including the sharing of research responsibilities and rewards. While collaborative partnership initiatives have shown promise and attracted growing interest, there has been little scholarly debate regarding the fair distribution of authorship credit within these partnerships. DISCUSSION: In this paper, we identify four key authorship issues relevant to global health research and discuss their ethical and practical implications. First, we argue that authorship guidance may not adequately apply to global health research because it requires authors to write or substantially revise the manuscript. Since most journals of international reputation in global health are written in English, this would systematically and unjustly exclude non-English speaking researchers even if they have substantially contributed to the research project. Second, current guidance on authorship order does not address or mitigate unfair practices which can occur in global health research due to power differences between researchers from high and low-middle income countries. It also provides insufficient recognition of "technical tasks" such as local participant recruitment. Third, we consider the potential for real or perceived editorial bias in medical science journals in favour of prominent western researchers, and the risk of promoting misplaced credit and/or prestige authorship. Finally, we explore how diverse cultural practices and expectations regarding authorship may create conflict between researchers from low-middle and high income countries and contribute to unethical authorship practices. To effectively deal with these issues, we suggest: 1) undertaking further empirical and conceptual research regarding authorship in global health research; 2) raising awareness on authorship issues in global health research; and 3) developing specific standards of practice that reflect relevant considerations of authorship in global health research. SUMMARY: Through review of the bioethics and global health literatures, and examination of guidance documents on ethical authorship, we identified a set of issues regarding authorship in collaborative partnerships between researchers from low-middle income countries and high income countries. We propose several recommendations to address these concerns.

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)0.097
metaresearch head score (Gemma)0.253
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Science and technology studies, Research integrity
Consensus categoriesMetaresearch, Research integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.271
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0970.253
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.003
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0030.012
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 head0.447
GPT teacher head0.516
Teacher spread0.069 · 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