Book Review: Derr, Jennifer L. 2019. The Lived Nile: Environment, Disease, and Material Colonial Economy in Egypt. Stanford, CA: Stanford University Press.
Bibliographic record
Abstract
In 1999, the Nile Basin Initiative (NBI) was established to manage and develop the Nile Basin waters. The NBI has fostered and facilitated dialogue among its ten member states since its inception, but tension over the use of the Nile waters remains high. Many countries continue to build large hydroelectric projects in the basin without the agreement of other countries. Egypt has argued that it has a right to a continuous volume of water and has threatened to use military force to guarantee that right. Other factors, particularly climate change, are also undermining the volume and predictability of water supplies in the basin. Access to basin waters is especially in demand to improve national and regional electricity supplies and irrigation and, ultimately, to transform and improve the quality of life of basin residents. But how do these regional and national interventions manifest at the individual and community levels? How do citizens and communities, willingly or not, become subjected to these transformations in their everyday lives? The Lived Nile provides an enthralling and critical historical examination of these questions.
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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.005 | 0.009 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.004 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.052 | 0.049 |
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".