Two York U Professors Among Five Canadian Scholars Honoured as 2016 Trudeau Fellows
Notice bibliographique
Résumé
September 20, 2016 − York University Professors Poonam Puri and Catriona Sandilands have been named as two of only five scholars across Canada to be awarded prestigious research fellowships by The Pierre Elliott Trudeau Foundation this year.\nThe fellowships, announced by the Foundation today, recognize intellectuals in the humanities and human sciences for their commitment to seeking innovative solutions to major issues facing Canada and the world and to communicating their findings to the public.\nOsgoode Hall Law Professor Poonam Puri will develop creative policy and legal solutions to hold multinational corporations more accountable for their actions globally when they cause harm to individuals and communities.\nAn expert in corporate governance, Puri will analyze the structures and strategies used by some corporations to limit their liability on human rights and environmental abuses, document barriers to making claims against those companies and create a blueprint for multinationals about how to manage their global operations more responsibly. Through her groundbreaking project, Puri will also make pragmatic recommendations for reform and evaluate the impact they would have on the Canadian economy and global commerce.\nProfessor Catriona Sandilands, of York’s Faculty of Environmental Studies, will lead an innovative project designed to create a significant public and collaborative process focused on listening to, creating, and sharing stories about everyday experiences of climate change. Emphasizing Indigenous and environmental justice traditions, the project will include an interdisciplinary and multi-community workshop that will bring experts on climate and community together to understand the cultural dimensions of environmental problems. It will also produce a collection of essays, stories, poems and reflections from the workshop, oriented to a general audience, and offer community discussions and a social media site through which to share the collection.\n“York is committed to excellence in research and scholarship in all its forms,” said Robert Haché, Vice-President Research & Innovation at York University. “Professors Poonam Puri and Cate Sandilands exemplify the type of intensive engagement in research that is the foundation on which York’s vibrant and exciting academic environment is built.” As 2016 Trudeau Fellows, Professors Puri and Sandilands will receive a total of $225,000 each over the next three years. They are the fourth and fifth York University scholars to be honoured as Fellows, following Professors Isabella Bakker, Haideh Moghissi and Janine Marchessault, and are among 63 Fellows awarded by The Pierre Elliott Trudeau Foundation over the past 14 years.\nVIDEO of Professor Poonam Puri discussing her project, “Piercing the Corporate Veil.”\nVIDEO of Professor Catriona Sandilands discussing her project, “Storying Climate Change: Narrative, Imagination, Justice, Resilience.”\nImage of Professor Poonam Puri\nImage of Professor Catriona Sandilands\nYork University is known for championing new ways of thinking that drive teaching and research excellence. Our students receive the education they need to create big ideas that make an impact on the world. Meaningful and sometimes unexpected careers result from cross-discipline programming, innovative course design and diverse experiential learning opportunities. York students and graduates push limits, achieve goals and find solutions to the world’s most pressing social challenges, empowered by a strong community that opens minds. York U is an internationally recognized research university – our 11 faculties and 26 research centres have partnerships with 200+ leading universities worldwide. Located in Toronto, York is the third largest university in Canada, with a strong community of 53,000 students, 7,000 faculty and administrative staff, and more than 295,000 alumni.\nMedia Contact: Janice Walls, Media Relations, York University, 416 736 2100 x22101 / wallsj@yorku.ca
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 | 0,005 | 0,008 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,003 | 0,003 |
| Études des sciences et des technologies | 0,029 | 0,007 |
| Communication savante | 0,010 | 0,003 |
| Science ouverte | 0,003 | 0,008 |
| Intégrité de la recherche | 0,004 | 0,008 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,067 | 0,013 |
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 ».