The Prospects and Limits of Eco-Consumerism: Shopping Our Way to Less Deforestation?
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
Firms and governments are increasingly turning to voluntary programs such as eco-certification and eco-labeling as core instruments for managing forests. To probe the prospects and limits of this shift toward eco-consumerism as a mechanism for global change, this article analyzes its value for improving forest management globally. It reveals that eco-consumerism is improving some aspects; yet, for both supply and demand-side reasons, the advances are incremental and unequal and overall doing little to slow deforestation. The article therefore highlights the danger of overestimating the potential of voluntary eco-certification and advances a set of policy and management solutions to enhance the effectiveness of eco-consumer initiatives such as forest certification. Solutions include internal incremental adjustments to certification programs, coordinated alongside more fundamental external systemic changes in the marketing, industrial use, and valuation of the world’s forests.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it