Ascenção da apicultura no Piauí: produção de atrativo natural de abelhas Apis Mellifera Ligustica como incentivo ao aproveitamento dos recursos naturais
Bibliographic record
Abstract
Beekeeping is the responsible and non-harmful management activity to bees with a lucrative purpose, currently generating an important income for beekeepers, especially in the Northeast region, with Piau being a national highlight in the activity, with about 36% of the honey export of the country, being the main importing countries of Piauiense honey Germany, Canada and the United States.More than 10,000 families in Piau live from beekeeping and other complementary activities, being the cities of So Raimundo Nonato, Oeiras, Bela Vista do Piau, Picos, Campo Grande do Piau, Jacobina do Piau and Itainpolis the main bee honey producers.With the great productive potential of honey by bees of the species Apis Mellifera Ligustica, which still have a low percentage of aggressiveness, allowing the monitoring for management and maintenance, beekeeping becomes a great potential for entrepreneurship.One of the characteristics of the entrepreneur is the use of opportunities, persuade people, develop the business vision and create differentials.In classical administration, the management of resources and results was already discussed as being essential for successful administration.The beekeeping activity is still a branch with little professionalization and little dissemination of knowledge which generates the difficulty in having a good use of resources, such as natural attractants for the capture of new swarms and the increase of honey productivity.Thus, this work aims to produce a low-cost and easily accessible natural attractant of Apis Mellifera Ligustica bees, and provide regional beekeepers with access to knowledge about their production, as well as its use to manage their beekeeping business.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 0.002 |
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; both teacher heads agree on what is shown here.
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".