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Enregistrement W7070731211

Proceedings of the 10th Háskóli Íslands Student Conference on the Medieval North (Reykjavík, April 15–17, 2021)

2021· other· en· W7070731211 sur OpenAlexfundno aff

Notice bibliographique

RevueOpin vísindi (Opin vísindi) · 2021
Typeother
Langueen
Domaine
Thématique
Établissements canadiensnon disponible
Organismes subventionnairesSocial Sciences and Humanities Research Council of CanadaHellenic Foundation for Research and Innovation
Mots-clésExhibitionEvent (particle physics)OutreachVariety (cybernetics)Graduate studentsMedieval studies
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

The Háskoli Íslands Student Conference on the Medieval North was established in 2011 as an annual international and interdisciplinary forum for graduate students of Old Norse and broadly defined Medieval Scandinavia including but not limited to Archaeology, History, (Comparative) Literature, Old Nordic Religion, Linguistics, Editing and Digitisation, Codicology, Manuscript Transmission, Gender and Queer Studies, Ludology, and Modern Reception Studies. The conference is organised by Early Career Researchers and postgraduate students and at the University of Iceland. In recent years, the Háskóli Íslands Student Conference on the Medieval North has become a successful event with a steadily growing number of attendees. As the conference was held for the tenth time from April 15–17, 2021, we were delighted to expand the conference to a three-day online event on Zoom and Twitch and to introduce several new initiatives including a virtual exhibition of 14 posters, two keynote lectures, a manuscript showcase and a workshop on bookmaking and illuminated manuscripts. The conference comprised papers and posters from 51 graduate students and Early Career Researchers affiliated with 29 universities and institutions in 15 countries. These proceedings compile selected abstracts from the event in a more easily accessible format. The papers and posters at the conference showed a variety of novel research in the field of Medieval Norse Studies. Among the wide range of diverse, interdisciplinary topics, an encompassing question became evident: How do our interactions with the past shape the present and the future of research and us as researchers? Three key themes emerged: First, a significant number of papers engaged with the layers that comprise cultural identity, in particular, how it is created, how it impacts the relationship between individuals and communities, and what we can learn from it. Some speakers considered the internal and external perception of Old Norse culture, people and language, most notably regarding ability and disability, supernatural entities, and other marginalised groups. Some speakers focused on abstract concepts, for instance,dreams, performance, memory, and emotions, while others explored the changing image of Old Norse concepts in postmodern literature, media, and games. Second, several papers demonstrated instances of exciting technologies, such as LiDAR DEMs, 3D models, databases and mapping tools that can be useful contributions to our understanding of the Old Norse world. This trend underlines the increasing importance of Digital Humanities. Third, particularly the two keynote lectures and concluding conference reception presented strategies for Early Career Researchers to discuss how we can benefit from the knowledge and understanding of the Medieval North, and how to use it to develop our professional careers and build networks. Both keynote speakers, Dr Beeke Stegmann and Dr Luke John Murphy gave significant insights into the different possible pathways of academic careers by sharing their personal journeys with the audience. The organising committee would like to thank all participants of the 10th Háskóli Íslands Student Conference on the Medieval North. We would also like to thank the sponsors of the conference for their generous support, particularly Enkon A/S, Reykjavík UNESCO City of Literature, and Rimmugýgur, and we are grateful for the following institutions and universities which have been providing facilities, refreshments, and other resources for many years: The University of Iceland Centre for Medieval Studies (Miðaldastofan), the Centre for Research in the Humanities (Hugvísindastofnun), and the Árni Magnússon Institute for Icelandic Studies. In addition, we extend our gratitude to a number of individuals without whom the 10th Háskóli Íslands Student Conference on the Medieval North would not have been possible: We thank Haraldur Bernharðsson (University of Iceland) for his continued support and advice throughout the process of planning and holding the conference as well as his assistance with this e-book. We are grateful for Guðvarður Már Gunnlaugsson and Vasarė Rastonis (Stofnun Árna Magnússonar í íslenskum fræðum) for allowing us to showcase three manuscripts in the Arnamagnæan collection, GKS 2365 4to, AM 350 fol., and AM 132 fol. We also appreciate the work of Liv Marit Mathilde Aurdal (Snorrastofa) and Beth Rogers (University of Iceland) and thank them for their involvement with the initial planning of the conference. Lastly, we would like to express our sincere gratitude to Beeke Stegmann and Luke John Murphy who not only organised the first Háskóli Íslands Student Conference on the Medieval North, but also significantly enriched the anniversary conference in April 2021 with their insightful keynotes on strategies, opportunities, and overcoming challenges in Early Research Careers. The 11th Háskóli Íslands Student Conference on the Medieval North will take place online and at the University of Iceland on April 7–9, 2022. We hope to see you at a future event!

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 distillée sur la base complète

Imitation des enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,001
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict), Science ouverte, Intégrité de la recherche, Charge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesMéta-épidémiologie (sens strict), Intégrité de la recherche, Charge utile insuffisante (le modèle a refusé de juger)
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Autre · Signal consensuel: Autre
Score de désaccord entre enseignants0,058
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,001
Méta-épidémiologie (sens strict)0,0020,002
Méta-épidémiologie (sens large)0,0030,001
Bibliométrie0,0010,003
Études des sciences et des technologies0,0010,002
Communication savante0,0010,000
Science ouverte0,0060,002
Intégrité de la recherche0,0010,003
Charge utile insuffisante (le modèle a refusé de juger)0,0300,003

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.

Tête enseignante Opus0,033
Tête enseignante GPT0,280
Écart entre enseignants0,247 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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

Classification

machine, non validée

Prédiction automatique; les deux têtes enseignantes s’accordent sur ce qui est montré ici.

Devis d'étudeSans objet
Domainenon disponible
GenreAutre

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2021
Routes d'admission1
Résumé présentoui

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