Greenhouse Gas (GHG) Scope 3 Inventory and Corporate Climate Strategy for Ocean Spray Cranberries Inc
Bibliographic record
Abstract
According to the Greenhouse Gas Protocol, the Corporate Value Chain (Scope 3) Accounting and Reporting standard, Scope 3 greenhouse gas (GHG) emissions constitute emissions that result from indirect activities or assets not owned by an organization. Of all the GHG emissions generated by the food and beverage industry, as much as 90% are Scope 3, often stemming from complex agricultural, manufacturing, and distribution supply chains out of the direct control of large brands (Greenhouse Gas Protocol, 2015). In an effort to address and mitigate climate change for their farmer-owned cooperative, Ocean Spray Cranberries (OSC) sought help to conduct a GHG inventory of Scope 3 emissions and identify Scope 3 reduction targets. The University of Michigan Master’s Project team was tasked with conducting a GHG inventory of Scope 3 emissions to assess the baseline of OSC indirect emissions. A value chain map was created in conjunction with OSC’s sustainability team. A specialized Scope 3 calculator relevant to OSC’S Scope 3 categories and updated emissions factors was developed as a tool to assess indirect emissions. In addition, the team helped calculate upstream transportation and distribution emissions reductions associated with shifts to regional production in Canada and Australia. This project provided tools to help inform OSC’s corporate climate strategy to mitigate the effects of and adapt to climate change. Students received better insight into the challenges associated with accounting for and reducing indirect Scope 3 emissions.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 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 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".