Rapid integrated life cycle assessment of building-wide IT systems
Bibliographic record
Abstract
An integrated life cycle environmental and cost analysis of building-wide IT systems was performed for the University of British Columbia's Centre for Interactive Research on Sustainability (CIRS), a new green building currently under construction and scheduled for occupancy in summer 2011. Because the CIRS project has a mandate to choose environmentally preferable alternatives wherever possible, the CIRS team commissioned this study in order to enumerate possible technology systems to be installed and to assess them in terms of environmental performance, cost, and suitability for the building occupants. The team was particularly interested in investigating the possible environmental benefits of thin client computing devices, which replace desktops and laptops by hosting computing sessions on remote servers, and of all-wireless network systems which would obviate network cabling. Several potential building-wide IT systems were assessed, with each system comprising a different collection of products compatible with these high-level technology decisions. The analysis included production and use impacts based on studies in the Ecolnvent database; end-of-life was excluded because it represents a minimal share of the impact in these studies.
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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".