The circular economy of Robinson Crusoe: Exploring the impact of the representative consumer
Bibliographic record
Abstract
The circular economy typically addresses waste recycling issues at the micro-level, primarily focusing on individual enterprises, and less frequently at the meso-level, such as regions. This article introduces a novel perspective by examining recycling processes not only at the macro level but also through the lens of the Robinson Crusoe economy (ERC). The ERC concept was originally proposed in the 1930s. In this new paradigm, a representative producer, embodying Robinson Crusoe, establishes a business structure that implements a circular economy mega-project. This project comprises individual mono-projects aimed at maximizing profits derived from waste recycling. On the other hand, a representative consumer (representing the state and society) seeks to maximize its inherent utility, including taxes and fees. Now, the focus shifts to Robinson Crusoe as a consumer, thus defining the objective of this study as identifying approaches to determining the macroeconomic effects associated with such consumption. The recycling of blast-furnace slags in Ukraine serves as a case study for analysis.
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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 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.005 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".