Connecting business with the agricultural landscape: business strategies for sustainable rural development
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 Agribusiness enterprises link rural landscapes to global and regional markets. The nature of these business–landscape relationships is vital to the sustainability transition. Decisions by farmers and agriculture policymakers aggregate to changes in the ecology of landscapes, but the influence of food supply system businesses on rural landscape sustainability also requires scrutiny. This article uses four international cases to present a conceptual framework for investigating how different business strategies can support agricultural landscape sustainability. Insights from North America, New Zealand, The Netherlands, and Denmark inform the framework dimensions of horizontal/territorial and vertical/systemic business–landscape relationships. Three types of business model that promote rural sustainability are highlighted: provenance, cogovernance, and placemaking. These models engage strategies such as environmental management systems, certification, ecosystem and landscape services, and spatial planning. Research directions that will improve understanding about how business can engage with rural stakeholders for more sustainable rural landscapes are identified, including the need for cross disciplinary perspectives incorporating social, ecological, and business knowledge.
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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 | 0.001 | 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 | 0.001 | 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