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.
Bibliographic record
Abstract
<i>Future Memory Work</i> addresses a crucial challenge in contemporary pluralistic societies: the organisation of open, participatory and socially inclusive memory practices in digital media ecologies. It brings a novel relational approach to future memory work across institutions, people, and modalities. Advancing inter- and transdisciplinary research and rich empirical cases from across Europe and beyond, the book examines how memory practices in digital media are open for engagement of people with diverse backgrounds. It analyses the modalities of memory making and how they can enable institutional and public memory making with a broad spectrum of people and groups in civil society at local, translocal, national and global levels. The chapters examine the mediatized character of memory making, whilst also critically considering what obstacles and potentials emerge from participatory memory work. As a whole, the book is a comprehensive source of knowledge and ideas for creating socially inclusive, sustainable memory practices and futures. It sets the multidisciplinary research agenda for advancing studies of heritage in contemporary digital media as an element and a driver of cultural and social change. <i>Future Memory Work</i> is essential reading for academics, students and professionals working in the fields of Anthropology, Museum Studies, Digital Cultural Heritage, Memory Studies, Cultural Studies and Design.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.093 | 0.055 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it