The Perils of Unmanaged Export Growth: The Case of Kava in Fiji
Bibliographic record
Abstract
Abstract Small developing countries are increasingly marginalized in the global system, especially in the context of global trading. There is a fascination for “bigness” and the global system exerts pressure, at times challenging the very existence of smaller countries. However, there are several small island economies that have succeeded in formulating ingenious development policies to overcome their vulnerabilities. Numerous smaller countries have relatively higher GDP per capita or HDI compared to the rest of the world. One way of overcoming problems associated with smallness is to find niche products for a sizeable international market. This article looks into how small-scale informal sector activities in a small island country could prove to be a pacesetter for a niche product in international trade. It explores the extent to which Fiji’s small-scale farmers have contributed to the exports of kava, and discusses its impact on their livelihoods and the challenges for the kava industry. This article also highlights how success could breed failure when growth is unmanaged, quality is not guaranteed, and domestic product regulation inexistent.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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 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".