Ethical publishing in ‘Indigenous’ contexts
Bibliographic record
Abstract
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 Controlis currently missing an ethical research and evaluation publishing protocol to help uphold ethical practice. The supporters of this Special Communication call onTobacco Controlto 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 inTobacco Controlto reflect on their conduct and decision-making when working, developing and undertaking research and evaluation of relevance to Indigenous peoples. Tobacco Controland 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 forTobacco Controlto 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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.078 | 0.162 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.019 | 0.059 |
| Scholarly communication | 0.024 | 0.016 |
| Open science | 0.003 | 0.019 |
| Research integrity | 0.012 | 0.014 |
| Insufficient payload (model declined to judge) | 0.013 | 0.003 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".