Review: <i>Flooded Pasts: UNESCO, Nubia, and the Recolonization of Archaeology</i>
Bibliographic record
Abstract
Book Review| March 01 2024 Review: Flooded Pasts: UNESCO, Nubia, and the Recolonization of Archaeology William Carruthers Flooded Pasts: UNESCO, Nubia, and the Recolonization of Archaeology Ithaca, N.Y.: Cornell University Press, 2022, 336 pp., 2 maps, 29 b/w illus. $59.95 (cloth), ISBN 9781501766442 Menna Agha Menna Agha Carleton University Search for other works by this author on: This Site PubMed Google Scholar Journal of the Society of Architectural Historians (2024) 83 (1): 115–117. https://doi.org/10.1525/jsah.2024.83.1.115 Views Icon Views Article contents Figures & tables Video Audio Supplementary Data Peer Review Share Icon Share Facebook Twitter LinkedIn Email Tools Icon Tools Get Permissions Cite Icon Cite Search Site Citation Menna Agha; Review: Flooded Pasts: UNESCO, Nubia, and the Recolonization of Archaeology. Journal of the Society of Architectural Historians 1 March 2024; 83 (1): 115–117. doi: https://doi.org/10.1525/jsah.2024.83.1.115 Download citation file: Ris (Zotero) Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Search Dropdown Menu toolbar search search input Search input auto suggest filter your search All ContentJournal of the Society of Architectural Historians Search I read William Carruthers's Flooded Pasts as a Nubian woman. Consequently, I do not claim a neutral position, nor do I seek one. As I read, the ghosts of my ancestral flooded land loom large in my consciousness. I appreciate learning from the archival investigations that appear throughout this book. In Egypt, institutional archives are now kept behind a wall of security clearances and permits that are seldom issued to Nubians. Many archives outside Egypt are also inaccessible to Nubian researchers, most of whom are local historians in displacement without affiliations with academic institutions or access to their resources. Nubians were displaced from their ancestral land by the construction of the Aswan High Dam in 1964. This was not the Nubians' first displacement; it was preceded by the building of the Aswan Low Dam, constructed on the First Cataract by British colonialists in 1902 and subsequently heightened twice, in 1912... You do not currently have access to this content.
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.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.023 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.005 | 0.008 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.007 | 0.005 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.004 | 0.004 |
| Insufficient payload (model declined to judge) | 0.035 | 0.017 |
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".