Determining barriers to sustainability within the Costa Rican coffee industry
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 The Costa Rican coffee industry has been the subject of many sustainability plans, all of which have had a particular bias towards one aspect of sustainability or another. Following the sustainability evaluation framework discussed in previous work a significant gap was recognized between the requirements of a sustainable industry, which address all facets of sustainability (including all stakeholders – both producers and processors), and the present system. This was particularly so within aspects of institutional considerations and the lack of continuity when integrating processing considerations into sustainability considerations. The concerns, deficiencies and perceptions of the various stakeholders within the industry were documented in order to ensure a proper match between sustainability barriers and any steps that would be taken to address them. The inclusion of stakeholders' thoughts and perceptions was determined to be important in the establishment of any policy aimed at improving the overall sustainability of the coffee industry. Using the sustainability framework as the foundation for discussion, specific barriers to the application of sustainability were highlighted and discussed. Copyright © 2006 John Wiley & Sons, Ltd and ERP Environment.
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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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