The Unspoken Narratives of the Empty Quarter
Bibliographic record
Abstract
The desert, commonly understood as a barren and infertile landscape, is not empty. This thesis reads the desert landscape as an archive full of social, economic, and political narratives using the Empty Quarter as a case study. The Empty Quarter, in Arabic Rub al-Khali, stretches across the southern part of the Arabian Peninsula including Oman, Saudi Arabia, the United Arab Emirates, and Yemen. The overarching understanding of deserts as a void has obscured the Empty Quarter’s image as a home to Bedouin tribes and a site of natural resource extraction, agricultural land, and a testing ground for scientific research. Furthermore, the inability to understand the desert ecology is causing current urban processes to be resource intensive as the adjacent cities expand. By providing a new reading of the desert ecology, this thesis speculates how design and planning in arid regions can mediate between social values, aesthetics, and environmental challenges to arrive at ecological urban development. This thesis draws from multiple sources, including the analysis of archival materials, historic maps, artworks, field observation, myths, and tribal poetry, in order to arrive at a novel understanding of the Empty Quarter’s ecosystem. It is not a void, but rather a space that adjacent cities depend upon to meet the social and material needs of their inhabitants.
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 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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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 teacher head, 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".