Notice bibliographique
Résumé
Named after the Ukrainian Orthodox prayer for the dead, the Canadian feminist Decameron Collective’s Memory Eternal (Вічная Пам'ять) is a single user a Virtual Reality work designed for Quest 2 that features seventeen distinct storytelling works which include 360 video, interactive and spatialized sound, AI generated images and video, film, as well as text. Set in a surreal and watery landscape, the works investigate our shared experiences of grief and loss at personal, societal, and planetary scales. The design of the world and the works in it center around a question: In the wake of crises, what do and should we remember, and how? Interactants’ journey through the world takes them through experiences of mourning, sitting with, and awakening to new futures. Research objectives: Memory Eternal was an experiment in finding interactive forms for grieving and memory work in response to personal losses, war, and the climate crisis. Speculative practices: The generation of the world and works in it is the product of a speculative feminist praxis asking what important relationships to the past and what forms of futurity can be attained through digital storytelling and research co-creation. The work results from years long conversations, inquiry, and artistic experimentation between the members of the Decameron Collective (Jolene Armstrong Kelly Egan, Lai-Tze Fan, Caitlin Fisher, Angela Joosse, Kari Maaren, Siobhan O’Flynn, Izabella Pruska-Oldenhof, and Monique Tschofen) anchored in an ethics of care. Documenting / bearing witness: Memory Eternal designs an experience that asks immersants to bear witness to individual grief, as well as participate in collective acts of grieving at a historical moment of overlapping personal and planetary crises. How can haptic and immersive interactive forms engage the thickness of lived histories? How can digital worlds create spaces of encounter that bring vastly diverse, heterogenous yet overlapping experiences together? Theoretical framework: The theoretical frameworks that informed the production and our current understanding of the work includes memory studies (Nora, Van Abbele, Young ); (an)archives and living archives (Springgay, Sabiescu, Siegel); autotheory (Fournier, Vanyecken, Strom, Puig de la Bellacasa); interactive documentary and co-creation (Gaudenzi, Cizek); care ethics; and research-creation (Springgay, Truman, Loveless). Methodology: The Decameron Collective’s methodologies have been informed more by research creation principles than by those of interactive documentary, digital design, film, or scholarship. Our work is emergent, dialogic, and collective. We begin with an intention, often thematic. Broader research questions emerge through the creation, and engagement with each other as co-creators, as well as with audiences and scholars. Emergence opens space for somatic thinking and knowing as legitimate forms of knowledge. It allows for the making of surprising connections, following threads we previously did not know existed, and experimenting with dimensional thinking. And emergence centre the dialogical. As such, emergence is more of a strategy than a method, a resistance to rigid methodologies that privileges interaction as opposed to results. We will be discussing both the possibilities and the intellectual and aesthetic risks of this methodology.
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 | 0,015 | 0,023 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,002 | 0,003 |
| Études des sciences et des technologies | 0,004 | 0,011 |
| Communication savante | 0,012 | 0,008 |
| Science ouverte | 0,002 | 0,007 |
| Intégrité de la recherche | 0,002 | 0,004 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,078 | 0,014 |
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 ».