Influence of social network participation, regional density, and customer interaction on the adoption of sustainability initiatives
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
This study extends the extant literature on sustainability adoption by investigating the influence of business network participation, regional density, and the channels for customer interaction on companies’ adoption of sustainability initiatives. Data were collected from 311 wineries in Oregon. The results suggest that participating in a business network is a significant and positive determinant of wineries’ adoption of sustainability programs. Regional density also has a significant impact on sustainability adoption, such that wineries operating in less dense regions are more likely to adopt sustainability initiatives. Interestingly, the winery density of a region also moderates the impact of business networks on sustainability adoption. Specifically, the effect of business networks on sustainability decisions is stronger for wineries in dense regions. The research results also suggest that wineries with more channels for direct customer interactions are more likely to adopt sustainability initiatives.
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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 | 0.001 |
| 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 | 0.001 |
| 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