Unpacking drought impacts and adaptive strategies in Morocco – perspectives from small-scale farmers
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
Droughts in North Africa are increasing in frequency and severity. The most vulnerable include small-scale farming communities and the associated small businesses with wide-ranging impacts and demands on local communities, food production, water allocation, and energy requirements. Our solution-orientated study supports the mitigation of impacts and the management of droughts in two case study areas within Morocco. A 2-day workshop was conducted to engage with local farmers in Settat and El Jadida to better understand the drought impacts and associated adaptive strategies. A Fuzzy Cognitive Mapping (FCM) approach was used to actively engage and interact with the farmers and to gain an understanding of the interconnections between drought, coping mechanisms, adaptation strategies, and issues to their livelihood and as seen through their experiences. The perspectives give new insights into where the policy interventions for the most impact in the system might be.
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.
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 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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