Innovation, Regional Development and the Life Sciences
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
The life sciences is an industrial sector that covers the development of biological products and the use of biological processes in the production of goods, services and energy. This sector is frequently presented as a major opportunity for policy-makers to upgrade and renew regional economies, leading to social and economic development through support for high-tech innovation. Innovation, Regional Development and the Life Sciences analyses where innovation happens in the life sciences, why it happens in those places, and what this means for regional development policies and strategies. Focusing on the UK and Europe, its arguments are relevant to a variety of countries and regions pursuing high-tech innovation and development policies. The book’s theoretical approach incorporates diverse geographies (e.g. global, national and regional) and political-economic forces (e.g. discourses, governance and finance) in order to understand where innovation happens in the life sciences, where and how value circulates in the life sciences, and who captures the value produced in life sciences innovation. This book will be of interest to researchers, students and policy-makers dealing with regional/local economic development.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| 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 it