An Assessment of Market Landscape of Cinnamon in Sri Lanka
Bibliographic record
Abstract
Purpose : The cinnamon trade is not only Sri Lanka’s oldest trade but the only trade where it holds a monopoly in the world market. Being the leading supplier of true cinnamon to the international market, Sri Lanka is still unable to cater the global demand. Our approach mainly focused to investigate, map and analyze the market landscape of Ceylon cinnamon. Research Method : Industry insights were drawn from 675 cinnamon growers, 485 peelers, 220 collectors, 50 balers/exporters, 30 value added producers and 50 consumers from Galle, Matara, Kalutara and Ratnapura districts. Stratified and convenience sampling techniques were employed to select appropriate samples. Primary data were collected using internet-based data collection techniques and traditional data collection tools.Findings : Producer base and peelers were identified as the main upstream actors. Upstream product basket was revealed to comprise with quills (Alba, C5 Special, C5, M1, M2, H1, H2 grades), quillings and featherings. Collectors/dealers, balers, exporters and value-added producers and freight forwarders, off-shore buyers, supermarkets, retailers and consumers collectively represent the downstream. Semi-processed and ultra-processed products were observed in the basket of value-added product exporters. 38% of the studied spice traders were emerging participants and they were followed by contenders (24%), market challenges (16%), niche participants and market leaders (11% each). Key brands associated with cinnamon related products available at the main markets; USA, Mexico, Canada, Germany, UK, India and Japan were used to develop the brand landscape. Originality / Value : Discovered stakeholder, institutional and brandlandscapes will drivethe Ceylon cinnamon industry towards success in highly competitive market environments.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".