Bibliographic record
Abstract
Abstract The Sahara: bridge or barrier? Today, most would answer that the desert was more a historical facilitator than hindrance in moving commodities, ideas, and people between North and sub-Saharan Africa. A recent publication even coined a new name for the region: “trans-Saharan Africa.” However, the Sahara is also a place where people live. Complex societies, sophisticated polities, extensive economies—all flourished at various times, waxing and waning in response to much the same factors as societies elsewhere. It is just that in the Sahara the vagaries of climate and the availability of water always established the parameters of development. A long-term drying era led to the dispersal of the Late Stone Age Dhar-Tichitt agro-pastoral settlements in eastern Mauritania, but in the east, Lake “Mega-Chad” shrank, leaving rich, sandy soils that attracted new cultivators. The Garamantes people of the Libyan Fezzan overcame their lack of water by developing a sophisticated underground irrigation system that supported an urbanized, cosmopolitan civilization that outlasted the Roman Empire. The introduction of the camel in the 4th century and the gradual growth of Islam from at least the 9th century added new possibilities for economic, cultural, and religious life. The Sahara benefited from the sequence of medieval empires emerging across its southern desert edge. Camel pastoralism, salt mining, oasis agriculture, and expansive trade networks shaped the region’s economy; those same networks facilitated cultural and scholarly exchanges. As Islam took root, growing its own understandings of North African and Middle Eastern schools of thought, a prodigious body of Saharan scholarship was created. It underpinned much of the jihad-led political upheaval and state-building in the 18th and 19th Sahel. Saharan clerics also directed their religious fervor against the invasion of French imperialists; “pacification” took the colonialists decades to achieve. But the impact of this violence exacerbated traditional clan conflict and disrupted economic life. So too did policies aimed at sedentarizing pastoralists and reshaping their social relations in the interests of the colonial economy. Much talked-about but largely ineffective efforts to abolish slavery had far less real impact than taxation policies; these both suppressed traditional exactions such as those levied by “warriors” and introduced new ones, including those to be paid in forced labor. Life in the Sahara became increasingly untenable. The arrival of Independence did nothing to address colonial legacies; the years of drought that devastated herds and crops in the desert and along its edge less than a decade later further fueled both political instability and economic crisis. That today the region nurtures radicalized Islamic movements promising to return “true meaning” (not to mention material benefits) to that life is not surprising.
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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.005 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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".