Shoreline dynamics and cultural heritage sites in Kenya, Tanzania, and Senegal: integrating remote sensing and archaeological knowledge
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
Coastal areas in Africa are vital for settlement, livelihoods, and socio–economic development, and host diverse heritage sites from the early Stone Age to the present. However, these sites face growing threats from development and climate change. The absence of regional sea level models and digitized archaeological records hampers effective threat mapping and mitigation. A new digital dataset documents the distribution and characteristics of archaeological sites in Kenya, Tanzania, and Senegal. It combines diachronic coastal change analysis (1985–2022) using advanced remote sensing. This preliminary African study reveals coastline retreat near heritage sites in Mombasa (Kenya) and Tanga (Tanzania) and shoreline increase in the Saloum Delta (Senegal). Impacts vary, but many sites remain moderately affected. Still, land use changes, especially industrial and urban development, pose significant risks. These findings offer a valuable evidence base for policy development, adaptive management, and targeted actions to safeguard Africa's cultural heritage in changing coastal environments.
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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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it