Advancing circular economy principles through wild black soldier flies
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><p>Biowaste management poses a significant and widespread challenge. However, its consideration as a resource has led to the emergence of innovative and sustainable biowaste management techniques. One such promising solution is the use of black soldier flies (BSF) in biowaste treatment. This technique offers various advantages, such as the transformation of biowaste into versatile products that can be used in agriculture, horticulture, aquaculture, animal husbandry, pharmaceuticals and energy production. Despite significant research on different aspects of the BSF biowaste treatment system, none have explored the application of circular economy principles in low-income settings using naturally occurring BSF, i.e., free-range BSF. This article addresses the gap utilizing a mixed-method approach through a case study to achieve two objectives: the localization of the circular economy through co-production with a community group and the viable production of black soldier fly larvae (BSFL) and compost to meet the community's needs. Through collaboration, a successful circular economy was established as biowaste was transformed into products and safely reintroduced into the local biosphere. Performance indices used included BSFL nutritional composition, harvest rates and heavy metal absence.</p> <p>Through community involvement, circular economy principles were effectively implemented to redirect a retail market's fruit and vegetable waste from the landfill. The free-range open system produced 19.15 kg of BSFL, with 44.34% protein content, 20.6% crude fat and zero heavy metals. These outcomes align with existing research, indicating that a community-led open BSFL system can generate valuable products while fostering circular economy principles with minimal financial, technological, energy and water resources.</p> </abstract>
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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