Bioeconomy and the Modern Challenge of Sustainable Production and Consumption of Biomass and Biofuels
Bibliographic record
Abstract
The bioeconomy encompasses the whole economy’s reliance on biological and renewable resources, appears as a response to the global challenges confronting the present civilization. This paper explains the genesis of this concept, focusing particularly on its fundamental components, i.e. the sustainable utilization of biomass and the production of biofuels. It offers an overview of global policies and strategies in this domain, alongside the potential applications of biomass. A large number of studies highlight the great potential of biomass, surpassing the current human needs. However, its application has to be examined through three aspects: supply, demand and sustainability. The increase in biofuel production also imposes challenges such as the competitive use of land for biomass and food production, which is a particular problem, and in this regard, various technologies have been developed that use inedible biomass in the production of biofuels and valuable chemicals. Recognizing the importance of the bioeconomy, as an inevitable element in achieving sustainable development, the European Union adopted a strategy and action plan for the bioeconomy in 2012. Also, many countries that are important players in the global economy, such as the United States, Germany, Canada, Japan, etc. have adopted their national strategies that promote the bioeconomy. It is clear that there is a global interest in research and investment in supply chains for biomass and biofuels, which gives an optimistic picture of the future use of biomass as the basis of a future global bioeconomy.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.008 |
| Scholarly communication | 0.005 | 0.007 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.005 | 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 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".