The State of Sustainable Coffee: A Study of Twelve Major Markets
Bibliographic record
Abstract
The State of Sustainable Coffee provides the first comprehensive overview of the market conditions facing, organic, fair trade and shade grown or eco-friendly coffees (termed 'sustainable' coffees). It outlines the volumes, trends, distribution channels, major players, and price premiums in 12 nations across Europe and Japan, as a companion to an earlier North American report. While some common parallels exist, such as the priority for consistency and quality standards, the substantial inter-market differences emphasize the need to approach each country and sometimes each distribution channel with an appreciation for its unique distinctions. Overall, the striking emergence and growth of sustainable coffees has catapulted them quickly from a small niche industry to become a significant part of the mainstream market. Their growth has consistently eclipsed the growth rate of conventional coffee for more than a decade. As a result of their strict environmental and social standards, improved governance structures, better farm management, and price premiums, these sustainability initiatives are facilitating not only rural development but also agricultural trade competitiveness for developing nations. In agriculture, it is the coffee sector that has arguably developed the most advanced experience with certified organic, fair trade, and eco-friendly products that are now shipped from more than half of the coffee exporting nations. A number of other goods ranging from commodities such as tea and sugar to meats, fruits and vegetables are following the coffee sector's innovative sustainability models. Although these sustainably produced products are not a panacea, they offer one of the few bright spots in developing country agricultural trade and provide considerable direct benefits to the more than one million coffee producing families that participate. The book was published jointly by IISD, the International Coffee Organization and the United Nations Conference on Trade and Development with the support of the International Development Research Centre and the World Bank.
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 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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.007 |
| Science and technology studies | 0.003 | 0.004 |
| Scholarly communication | 0.010 | 0.008 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".