Uncovering industrial symbiosis: a case study of Guelph, Ontario
Bibliographic record
Abstract
This thesis is an investigation of evidence of self-organized industrial symbiosis in a city. A case study of Guelph in Ontario, Canada was used to identify characteristics of inter-firm exchange of by-products, wastewater, and energy in a city with a diverse industrial base. Quantitative and qualitative data was collected from 22 firms in Guelph using an in-person interview method. The conditions that motivated these synergies and the nature of the relationship between firms were analyzed to provide an indication of the likelihood of further exchanges. 70 by-product synergies were identified. These exchanges predominantly involved arms-length transactions based on market mechanisms. They also were largely exchanged with recycling firms located outside of Guelph, but within a 100 km radius of the City. Stronger regulations and social ties may support more innovative exchanges and the growth of a regional industrial network.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 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".