KNOWLEDGE CREATION DYNAMICS AND FINANCIAL GOVERNANCE: CRISIS OF GROWTH IN BIOTECH FIRMS
Bibliographic record
Abstract
AbstractThe business models of dedicated biotech enterprises currently focus on the management of inventions with the aim of entering a virtuous growth cycle based on judicious directing of R&D projects (towards the market), the choice of intellectual property to be protected and traded, as well as managing financial options. We here deepen our understanding of the technological and organizational development cycle of these firms. We base ourselves on a series of semi-structured interviews with over 110 biotechnology firms within Quebec, one of the largest bio-cluster in Canada. This exploratory field study leads us to major paradoxical observations between organizational knowledge creation within biotechnology firms and the type of financial governance that is present. It ultimately shows three different modes of development within those firms: that is, pre-entrepreneurial, entrepreneurial and managerial, each staking out the progress of biotechnology firms, and also equally marked by two transformational ruptures (teleological and creativity gaps).
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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 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".