Toward the restoration of Indigenous land and life through SING - the Summer Internship for INdigenous Peoples in Genomics SING Sábme - Sámi territories
Notice bibliographique
Résumé
The Arramat Global Transformation Pathway 5 (T5) Decolonizing Science and Education aims to build a network and create a space toaddress the challenges and opportunities for Indigenous-led science,technology, and society research and education. Within this framework, we aim to organize a series of webinars that willbe recorded and published as vodcasts - to highlight projects and workthat are actively promoting the decolonization of science and education. We welcome you to join our very first webinar on December 15,2025, 6-7.30 PM Central European Time. Click here for Calendarinvite to get your time. Content: We begin with an introduction of the T5, followed by apresentation about the Summer internship for INdigenous peoples inGenomics (SING) program which first started in 2011. We then present the one-week SING Sábme workshop held in August 2025, with the help of a short film. The scientists and Sámi hosts will then present their reflections and insights. Thereafter we will open the floor for an opportunity to ask questions, discuss, exchange perspectives and ideas. Translation: French and Spanish is organised. For translation into otherlanguages within Arramat, please reach out to organizers latest byDecember 7 at email: arramatpathwayt5@gmail.com Invitation: The webinar/ vodcast is open to all Arramat members andalso open to all others interested in the themes discussed. Arramat members who wish to join the webinar as panelists pleaseemail us latest by December 14 at arramatpathwayt5@gmail.com. Program Opening and Introductions A Decade-Plus of DecolonizingScience - SING- Summer Internshipfor INdigenous people in Genomics, Kim TallBear Introduction to SING Sábme, May-Britt Öhman Film SING Sábme The SING experience: Reflections and insights by scientists and Sámi hosts Q and A Panelists May-Britt Öhman, Associate professor in Environmental History,Researcher, Centre for Multidisciplinary Studies on Racism, CEMFOR, Uppsala University, T5 Co-lead, Cofounder of SING Sábme (Lule and Forest Sámi) Kim TallBear, Professor, American Indian Studies, University of Minnesota,T5 Co-lead, Co-founder of SING USA, Canada and Sábme (Sisseton-Wahpeton Oyate) Elizabeth Nelson, Assistant professor, Metagenomics Laboratory for ancient and modern DNA,Southern Methodist University, Co-founder of SING Sábme (Turtle Mountain Band ofChippewa) Warren Cardinal McTeague, Assistant professor, Canada Research Chair in Indigenous Peoples, Governance & Environmental Relations, Dept of Forest and Conservation Sciences, University of British Columbia, T5 Co-lead, Co-founder of SING Sábme (Métis and Cree of Lac La Biche and Fort McMurray ) Tina Eriksson. Reindeer herder in Gällivare Forest Sámi community, Flakaberg group,and a tradition bearer of reindeer herding knowledge. Co-founder of SING Sábme Michael Guttorm,Eriksson Årsjok, Reindeer herder in the Gällivare Forest Sámi community, Flakaberg group, a tradition bearer of reindeer herding knowledge. Co-founder of SING Sábme Henrik Andersson, Reindeer herder of the Gällivare Forest Sámi village, Flakaberg group. Activist and defender of Sámi rights. Local guide who shares his cultural knowledge with visitors and students. Co-founder of SING Sábme. Hampus Andersson, Young reindeer herder of the Gällivare Forest Sámi village,Flakaberg group. He is one of the youngest herders working to carry on his family tradition. Co-founder of SING Sábme. Elle Eriksson, Member of the Gällivare forest Sámi community, Flakaberg group and Ph.D. student in Forest Science. Co-founder of SING Sábme Batzorig Tuvshinjargal, MA student at the Sustainable Development programme, Uppsala University, and intern with CEMFOR and the Arramat T5 pathway assisted in setting up the webinar and moderated. Jacob Smallboy, MA student at UBC Faculty of Forestry & Environmental Stewardship, assisted the webinar.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,003 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,010 | 0,004 |
| Communication savante | 0,004 | 0,003 |
| Science ouverte | 0,001 | 0,012 |
| Intégrité de la recherche | 0,002 | 0,003 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,029 | 0,004 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».