Bibliographic record
Abstract
This research project conducts a Scope 3 GHG Inventory for the University of Calgary for the operating year 2011-12 using the World Resources Institute (WRI) Greenhouse Gas Protocol Corporate Value Chain (Scope 3) Accounting and Reporting Standard in order to identify the Scope 3 GHG footprint from university operations. Emissions from Scope 3 sources are important because they can make up to 75 percent of the total GHG footprint for an organization. Scope 3 is a relatively emerging category of emissions, and currently there is only a small amount of literature and guidance available. The previous inventory conducted in 2008-09 relied heavily on the Clean-Air Cool-Planet carbon calculator and generic calculation tools; however, this year’s inventory attempted to use emissions factors and data that provided a more accurate representation of the operating environment for the University of Calgary. This inventory shows a 45 percent increase from the last inventory with the largest source of emissions coming from student and staff commuting. In addition to calculating Scope 3 emissions for the University of Calgary, the report identifies some of the challenges in applying this type of reporting standard to a higher educational institution and recommends improvements required to continue to advance the quality and accuracy of Scope 3 reporting for the university in the future. This report finds that improvements in data quality and collection, development of improved reporting standards as well as emission factors and methodology that represent the local operating environment of the university will improve reporting in the future.
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.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.007 | 0.014 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.016 | 0.005 |
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 source (direct Gemma or distilled Codex), 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".