The Revealed Comparative Advantage Index of Brazilian Natural Honey
Bibliographic record
Abstract
Natural honey is considered a valuable forestry product not only for biodiversity but also to its conservation functions. Besides, it is an important exported commodity. In this study, the performance of Brazilian natural honey exported products were evaluated with specific focus on determination of their competitiveness in the international market. This article aimed to calculate the Revealed Comparative Advantage Index (RCA) of Brazilian natural honey, from 2000 to 2015. The sources consulted are SEBRAE, IBGE, Brazilian Ministry of Development, Industry and Foreign Trade and the United Nations Commodity Trade Statistics Database (UN COMTRADE). The methodological procedure used was Balassa’s Revealed Comparative Advantage Index in order to estimate the competitiveness measure. The results demonstrated that Brazil was competitive in natural honey exported products during the period from 2002 to 2015. Considering the outcomes, based on the indexes it is possible to affirm that Brazilian natural honey is competitive and the country displays enough positive characteristics and productive capacity to amplify its participation in new international commercial markets.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".