Decision support for sustainable development using a Canadian economic input–output life cycle assessment model
Bibliographic record
Abstract
The environmental and human health impacts of engineering activities have reshaped the way engineers make decisions. Increasingly, engineering decision-making is taking into consideration the full life cycle implications of engineering activities. This paper details the development and application of a national economic input–output-based life cycle assessment model, a tool for guiding engineering decision-making, for the Canadian economy. The model consists of 61 industries and 103 commodities and incorporates economic and environmental–resource data, including marginal resource consumption, energy use, releases of National Pollutant Release Inventory compounds, and emissions of greenhouse gases. The model is useful for evaluating various development strategies and analyzing the potential direct and indirect impacts of alternative public policies on the Canadian economy and environment. The model is applied to various sectors of the Canadian economy, and the life-cycle implications of demands for different commodities are determined, including demand for electricity and construction materials for highway design.Key words: life cycle assessment–analysis, sustainable development, economic input–output.
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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) | 0.000 | 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 | 0.001 |
| 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".