Science-Industry Collaboration: Sideways or Highways to Ocean Sustainability?
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
There is substantial and unexplored potential for scientists to engage with the private sector for a sustainable ocean. The importance of such cooperation is a frequent emphasis of international dialogues and statements, it is embedded within the Sustainable Development Goals, and has been championed by prominent business leaders and scientists. But an uncritical embrace of science-industry collaboration is unhelpful, and candid reflections on the benefits and pitfalls that marine scientists can expect from actively engaging with the private sector are rare. In this Perspective, we draw on our collective experiences working with ocean industries in different parts of the world to reflect on how this has influenced our work, the effects these collaborations have generated, and the barriers to overcome for such partnerships to become more common. In doing so, we hope to help empower a new generation of marine scientists to explore collaboration with industry as a way to develop and scale up solutions for ocean sustainability. There is substantial and unexplored potential for scientists to engage with the private sector for a sustainable ocean. The importance of such cooperation is a frequent emphasis of international dialogues and statements, it is embedded within the Sustainable Development Goals, and has been championed by prominent business leaders and scientists. But an uncritical embrace of science-industry collaboration is unhelpful, and candid reflections on the benefits and pitfalls that marine scientists can expect from actively engaging with the private sector are rare. In this Perspective, we draw on our collective experiences working with ocean industries in different parts of the world to reflect on how this has influenced our work, the effects these collaborations have generated, and the barriers to overcome for such partnerships to become more common. In doing so, we hope to help empower a new generation of marine scientists to explore collaboration with industry as a way to develop and scale up solutions for ocean sustainability.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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 it