Remembering the scholarship of Nathan Sears: A forum <i>in memoriam</i>
Pourquoi ce travail est dans la base
Une base qui oublie comment elle a trouvé un travail ne peut pas être vérifiée. Voici les voies qui ont admis celui-ci.
Notice bibliographique
Résumé
The team at Global Policy: Next Generation were heartbroken to hear of the tragic and untimely passing of Dr. Nathan Alexander Sears earlier this year. GPNG is an initiative focused on amplifying the scholarship of early career researchers—exceptional thinkers at the beginning of their professional academic careers. As editors and as colleagues, we were not prepared to be writing in memoriam about one of our earliest contributors. Dr. Sears contributed an exceptional article to the first edition of Global Policy: Next Generation (2020). It remains GPNG's most highly cited and engaged-with publication. In the video abstract of the article found here, Dr. Sears discusses the paper's argument and contribution to the field. Among the many tragedies of Dr. Sears' passing is that his scholarly career was cut short just as it was beginning. He had defended his PhD dissertation at the University of Toronto in October 2022. The recency of this milestone achievement, however, belies a career already full of accomplishments, including work as a Government of Canada Cadieux-Léger policy fellow and several influential articles (Sears, 2017, 2020, 2021; Smith et al., 2020). Dr. Sears' work was at the cutting edge of research on global existential risk, using the tools of International Relations theory to understand why great powers choose to cooperate—or not—on human-induced civilisational threats from nuclear war to bioengineered pathogens to ‘unaligned’ artificial intelligence. Dr. Sears' death is a profound loss for both the research and policy communities with which he so passionately engaged. His passing also leaves a hole in our academic community that is wider than just his research. Nathan was an engaging and passionate scholar who positively contributed to every community he was a part of. He was a thoughtful and respectful listener and a generous and enthusiastic peer. Despite the seriousness of his work and his intense concern with existential risk, Nathan was also known as someone with a great sense of humour—quick to laugh and armed with a bright and infectious smile. This forum is a tribute to Dr. Sears' life through a reflection on his scholarship and research career. The five contributions consider the impact of Dr. Sears' published and unpublished research and the ideas he developed over the course of his too-brief career. The contributors pay their respects to Dr. Sears in the best way scholars know how—by engaging with, debating with, critiquing and expanding on his ideas. They also speculate about where Nathan's work may have gone in the future and the contributions to humanity he may have made. Those who knew Dr. Sears know that he relished intellectual debate: he would have truly enjoyed reading these reflections. Our hearts go out to Nathan's family and all those in our community who are mourning him and the loss of such enormous potential. We hope this forum can amplify Dr. Sears' work so that his scholarship and intellectual contributions can live on. Emma Lecavalier, University of Toronto, Board Member and former Deputy Editor, Global Policy: Next Generation. Gregory Stiles, University of Sheffield, Editor, Global Policy: Next Generation. Data sharing not applicable to this article as no datasets were generated or analysed during the current study.
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.
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
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 découle