Book Reviews
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
The Future of Digital Data, Heritage and Curation in a More-than-Human World Fiona R. Cameron. Abingdon: Routledge, 2021. What Photographs Do: The Making and Remaking of Museum Cultures Elizabeth Edwards and Ella Ravilious, eds. London: UCL Press, 2022. The Aftermaths of Participation: Outcomes and Consequences of Participatory Work with Forced Migrants in Museums. Susanne Boersma. Bielefeld: Transcript Verlag, 2023. Museum Times: Changing Histories in South Africa Leslie Witz. New York: Berghahn Books, 2022. Ancestors, Artefacts, Empire: Indigenous Australia in British and Irish Museums Gaye Sculthorpe, Maria Nugent, and Howard Morphy, eds. London and Canberra: The British Museum Press and the National Museum of Australia, 2021. The Routledge Companion to Indigenous Art Histories in the United States and Canada Heather Igloliorte and Carla Taunton, eds. New York: Routledge, 2022. Becoming Our Future: Global Indigenous Curatorial Practice Julie Nagam, Megan Tamati-Quennell, and Carly Lane, eds. Winnipeg: Arbeiter Ring Publishing, 2020. History Making a Difference: New Approaches from Aotearoa Katie Pickles, Lyndon Fraser, Marguerite Hill, Sarah Murray, and Greg Ryan, eds. Newcastle upon Tyne: Cambridge Scholars Publishing, 2017.
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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.032 | 0.012 |
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