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 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 | 0.000 | 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 | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.006 | 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".