Livelihood Assets and Activities in Two East Coast Communities of Zanzibar and Implications for Vulnerability to Climate Change and Non-Climate Risks
Bibliographic record
Abstract
Climate variability related events such as drought and associated food shortages are not new along the coast of Zanzibar, but are projected to increase with the impacts of global climate change. This paper examines the ‘internal’ characteristics that make Zanzibar’s coastal communities vulnerable to these and other changes, focusing on the factors that affect adaptive capacity (i.e. household and community assets) and sensitivity (i.e. livelihood activities and diversification). The sustainable livelihood approach and framework, especially the five capitals or assets, provided a lens to examine households’ capital stocks and the factors influencing access to these, as well as the outcomes for livelihood activities. Access to different capitals and assets were found to affect the range and choices of livelihood activities available to households as well as their ability to cope and adapt to existing and new risk. Our analysis shows how households on the drier and harsher east coast of the Zanzibar islands are particularly sensitive to climate variability and change in concert with other livelihoods challenges. This is primarily due to their high dependence on natural-resource based livelihood activities, which are already facing pressures. Moreover, low levels of most livelihood capitals limit the choices households have and undermine their adaptive capacity and ability to bounce back from climate and other shocks and stressors.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".