Towards the new bioeconomy: Bio-manufacturing as a strategic economic development initiative for Quebec
Bibliographic record
Abstract
Globally, the bioeconomy can be defined as the domain of the economy based on products, services and processes derived from biological resources. In this regard, synthetic biology refers to the characteristics of a field derived from biology that has developed over the past thirty years thanks to advances in applied genetics and bioengineering. Some predict that the future economy will primarily be a bioeconomy based on these emerging techniques, which are consistent with the decarbonization of our economy. We first describe the international reality of the "Bio Revolution" and then aim to assess Quebec's position. Next, we present some government policies following a top-down approach from different jurisdictions. A case study of a Montreal-based company allows us to highlight the problems it faced in attracting the financial capital needed for its growth. Another critical issue in the field is the scalability of production processes. We explore this issue further in agritech, a high potential sector but whose realization faces several socio-economic challenges. This analysis serves as a backdrop to our recommendations to develop a roadmap for government support for synthetic biology.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.005 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.012 | 0.001 |
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".