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Record W6962872456 · doi:10.17613/sn5ng-e4c67

Digital Humanities as Memory Work: Memory Eternal as a Virtual Site of Mourning

2024· other· en· W6962872456 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueKnowledge Commons (Lakehead University) · 2024
Typeother
Languageen
Field
Topic
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsDigital humanitiesStorytellingMemory workDigital storytellingGriefSandbox (software development)The HolocaustEthnography

Abstract

fetched live from OpenAlex

Named for the Ukrainian Orthodox prayer for the dead, the Canadian feminist Decameron Collective's Memory Eternal | Вічная Пам'ять explores trauma and remembrance. Designed for the Oculus Quest 2, this feminist digital sandbox storytelling project by a group of nine women scholars from Canada reflects on grief at the personal and collective scales, elaborating on the losses of the pandemic and war. In a 7 minute video, our project showcase will explore the work's forms and themes, providing an overview of the seventeen works which populate the digital space, and will contextualize it within overlapping frames of Digital Humanities and research creation, e-literature, and interactive documentary.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.093
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0070.003
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0020.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.082

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.029
GPT teacher head0.242
Teacher spread0.212 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Quick stats

Citations0
Published2024
Admission routes2
Has abstractyes

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