Upcycling of solid waste for furniture production: an environmentally sustainable solution for waste disposal
Bibliographic record
Abstract
Purpose. This study aimed to demonstrate, using studio research approaches, how solid waste in Kumasi Metropolis, Ghana, can be innovatively recycled into aesthetically pleasing and functional furniture pieces as a waste management strategy to achieve environmental sustainability. Results. Environmental sustainability and the economic profitability of solid waste generated during furniture production go hand in hand. By using recycled or reclaimed materials, implementing sustainable production practices and responding to the demand for environmentally friendly products, furniture manufacturers can contribute to a more sustainable future while receiving financial benefits. The study showed that upcycling is an excellent waste management strategy that creative persons and other innovators could use to help in the management of solid waste that have become an environmental nuisance. Also, the study revealed that creative persons could potentially train others in their locality to be more creative-centered so as to innovatively transform solid waste materials into more aesthetically relevant and functional items for environmental sustainability. Scientific novelty. The discarded solid wastes were repurposed to create new, functional and aesthetically pleasing furniture. The process of upcycling not only reduces solid waste but also minimizes the need for raw materials and energy consumption in furniture production. This is a new and an innovative concept in the field of furniture in Ghana. Practical value. Upcycling of solid waste for furniture production in the Kumasi Metropolis offers usable relevance by reducing waste, conserving physical resources, and creating economic opportunities which is mutually beneficial for both the environment and the community. Applying sustainable practices in furniture production can improve the brand image and attract public or consumer attention to environmentally conscious people.
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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 | 0.000 | 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 | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".