The political ecology of cocoa in <scp>Ghana</scp>: Past, present and future challenges
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
Abstract In recent years, many have raised concerns regarding the need to develop sustainable practices in the cocoa sector and to prepare for impending threats associated with climate change. Although evidence suggests more needs to be done to address the environmental concerns surrounding cocoa, the sustainability of the sector cannot be understood without recognizing other socio‐economic and socio‐political factors. This paper uses a case study of Ghana—the world's second largest producer of cocoa—to problematize the often‐simplistic claims concerning the fate of the crop. While the paper draws upon a diverse disciplinary body of literature, it uses a political ecology lens to analyse the multifaceted problems facing the cocoa industry. The paper derives insights from 131 interviews conducted with a wide range of stakeholder groups in Ghana's capital (Accra) and leading cocoa‐producing regions (Ashanti and Western). The analysis reveals the need to challenge dominant narratives about the cocoa‐climate change nexus, as it highlights other threats to the sector. This includes the difficulty of securing youth labourers, the problem of “galamsey” (i.e., illegal artisanal mining), the issue of land scarcity, and the politicization of migrant workers.
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 | 0.000 |
| 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