The Compostable Coffee Pod: Is PürPod100tm the Best Thing Since Sliced Bread? A Case Study on Club Coffee
Bibliographic record
Abstract
<p>With consumer consciousness growing in the area of sustainable food supply, food<br />distribution is looking for methods to embrace, adapt and improve its environmental<br />performance, while still remaining economically competitive. Until recent innovative<br />solutions were developed, coffee pods have been considered as an ecologically unsound<br />approach to single-serve beverages. Some have argued that reverse logistics (recycling) is a<br />better option than green supply chain management (composting). With a particular focus on<br />coffee pods a case study on Club Coffee, which focuses on green supply chain management,<br />is presented for the design of a capacitated distribution network for a two-layer supply chain<br />involved in the distribution of coffee pods in Canada. Our investigation shows that Club<br />Coffee’s relationship is not only critical to fostering the green supply chain ideology, but it is<br />also unique in the business. Findings are presented and limitations and future research are<br />proposed.</p>
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How this classification was reachedexpand
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 | 0.005 | 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 | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.002 |
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 teacher head, 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".