Cuba’s agrifood system in transition, an introduction to the <i>Elementa</i> Special Feature
Bibliographic record
Abstract
Cuba’s experience in sustainable agriculture and agroecology has been the subject of much international attention, particularly as advocates of agroecology aim to demonstrate the feasibility of implementing alternatives to industrial agriculture on a national scale to support ecological resilience, food security, food sovereignty, and human wellbeing. Such attention has increased since relations between the U.S. and Cuba began to normalize, stimulating speculation as to how this will affect Cuba’s advances in sustainability. The Special Feature Cuba Agrifood Systems in Transition analyses the nuances of agroecological development in Cuba. We emphasized amplifying the voices of locally-based researchers and practitioners by targeting manuscript invitations to Cuban scholars and publishing in both Spanish and English. We outline the process, challenges and goals of this unique endeavor and introduce seven articles, all contributions from Cuba except for one, which is a collaboration between U.S. based and Cuba based scholars. These articles unpack some of the complexities of Cuba’s agrifood system transition and draw on specific information and experiences to discuss successes and challenges of this transition. We thus underline the instructive value of the Cuban experience regarding the path to agrifood system sustainability and hope to spark new collaborative opportunities as scholars and citizens around the world look to develop agrifood systems that will sustain human society long into the future. Please refer to Supplementary Materials, Full text Spanish version of this article, for a full text Spanish version of this article.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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 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".