Demographics, Innovative Outputs and Alliance Strategies of Canadian Biotech Firms
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This paper focuses on the characteristics of biotech firms that consider alliances as critical to the innovation and commercialization of biotech-based products. First, we consider alliances with both universities and industries. Next, we examine attributes for those firms who consider proximity to universities as critical compared with others that do not put high value on physical proximity. Our study is informed by the literature on the biotechnology industry as well as studies on absorptive capacity, alliances and clusters in exploration and exploitation of knowledge, research and technologies. We analyse data based on a 2002 survey of Canadian biotech firms and find that while collaborative arrangements with universities are the most common among our sample firms, those who assign a high value to such linkages are not necessarily always the biotech firms experiencing commercial success.
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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 | 0.001 | 0.002 |
| 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) | 0.000 | 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 it