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Record W4320486753 · doi:10.1136/tc-2022-057702

Ethical publishing in ‘Indigenous’ contexts

2023· article· en· W4320486753 on OpenAlexaffabout
Raglan Maddox, Ali Drummond, Michelle Kennedy, Sydney A. Martinez, Andrew Waa, Patricia Nez Henderson, Hershel Clark, Penney Upton, Juliet P. Lee, Billie-Jo Hardy, El‐Shadan Tautolo, Shane Kawenata Bradbrook, Tom Calma, Lisa J Whop

Bibliographic record

VenueTobacco Control · 2023
Typearticle
Languageen
FieldHealth Professions
TopicHealth Policy Implementation Science
Canadian institutionsUniversity of Toronto
FundersNational Cancer InstituteNational Health and Medical Research CouncilOffice of the President, University of CaliforniaUniversity of CaliforniaMedical Research CouncilTobacco-Related Disease Research Program
KeywordsIndigenousNavajoContext (archaeology)MetisSovereigntyTobacco controlPublishingSociologyPolitical sciencePoliticsEnvironmental ethicsLawPublic relationsMedicineGeographyPublic health

Abstract

fetched live from OpenAlex

Ethical publishing practices are vital to tobacco control research practice, particularly research involving Indigenous ( Indigenous peoples : For the purposes of this Special Communication, we use the term Indigenous people(s) to include self-identified individuals and communities who frequently have historical continuity with precolonial/presettler societies; are strongly linked to the land on which they or their societies reside; and often maintain their own distinct language(s), belief and social-political systems, economies and sciences. The authors humbly acknowledge, respect and value that Indigenous peoples are diverse and constitute many nations, cultures and language groups. Many Indigenous peoples also exist as governments in treaty relations with settler-colonial societies, and all Indigenous peoples have inherent rights under international law. The language and terminology used should reflect the local context(s) and could include, but are not limited to, terms such as Aboriginal, Bagumani, Cherokee, First Peoples, First Nations, Inuit, Iwaidja, Kungarakan, Lakota, Māori, Mѐtis, American Indian, Navajo, Wagadagam, Wiradjuri, Yurok, etc) people. These practices can minimise, correct and address biases that tend to privilege Euro-Western perspectives. Ethical publishing practices can minimise and address harms, such as appropriation and misuse of knowledges; strengthen mechanisms of accountability to Indigenous peoples and communities; ensure that tobacco control research is beneficial and meaningful to Indigenous peoples and communities; and support Indigenous agency, sovereignty and self-determination. To ensure ethical practice in tobacco control, the research methodology and methods must incorporate tangible mechanisms to include and engage those Indigenous peoples that the research concerns, affects and impacts. Tobacco Control is currently missing an ethical research and evaluation publishing protocol to help uphold ethical practice. The supporters of this Special Communication call on Tobacco Control to adopt publication practice that explicitly upholds ethical research and evaluation practices, particularly in Indigenous contexts. We encourage researchers, editors, peer reviewers, funding bodies and those publishing in Tobacco Control to reflect on their conduct and decision-making when working, developing and undertaking research and evaluation of relevance to Indigenous peoples. Tobacco Control and other publishers, funding bodies, institutions and research teams have a fundamental role in ensuring that the right peoples are doing the right work in the right way. We call for Tobacco Control to recognise, value and support ethical principles, processes and practices that underpin high-quality, culturally safe and priority-driven research, evaluation and science that will move us to a future that is commercial tobacco and nicotine free.

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)0.009
metaresearch head score (Gemma)0.010
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.143
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0090.010
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0010.006

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 head0.415
GPT teacher head0.637
Teacher spread0.221 · 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.

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

Citations27
Published2023
Admission routes2
Has abstractyes

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