Industry, Government Leaders Confront World's Innovation Needs
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
Science policy-the ordered management of research-remains as hard to define as industrial policy. But research ministers and industry leaders from 30 countries have made a good stab at understanding the forces binding the processes of innovation with scientific advance. Their venue was the January Organization for Economic Cooperation and Development (OECD) meeting in Paris, where they explored Science, Technology and Innovation for the 21st Century. the chair was Australia's minister for science, Peter McGauran. a world of increasing opportunity and challenge, spending on RD business investment in research continued to be double that of government. Social Needs Weigh on Research These trends are continuing, since governments today are more harried by society-related programs than ever before. Official allocations to support research are thus often easy victims to outside pressures. Consider, for example, the extraordinary heat wave and drought that struck western Europe in summer 2003. sudden demand placed on public-health and water services in France, the area hardest hit, siphoned funds to these sectors from (among others) the research community's budget. One consequence, taking place at the very moment of the OECD science policy conference, was public protest that brought some 10,000 researchers from their labs to the Paris streets. Added to such episodic financial woes are more lingering problems that hinder the march of science. First among these the reluctance of young people to study science, math or engineering. Britain, France and Germany especially, university students face a hitherto virtually unknown threat of tuition fees. This combines with another imminent deterrent, the cross-border harmonization of university degrees-most likely along the lines of the North American model of bachelor's-master's-doctor's degrees. Many professors and students perceive such changes as not only a disruption of current university rhythms but a menace to national excellence in different disciplines. Then, once the young techie ready for professional life, cultural obstacles to job mobility take over. These mobstacles include * Reluctance to move far from home. * Coping with a foreign language or culture. * long tradition of staying with the same employer. * A profound aversion to skipping from university to industry to government, American-style. All of these hurdles blend into a negative synergism that curbs the creation and diffusion of knowledge-with concomitant impacts on innovative research, patent applications and economic access to intellectual property by other players, particularly the less industrialized countries. Meanwhile, the drain of the 1960s-1970s survives; it regularly affects some countries: Britain, Germany, Italy and France (see RTM Perspectives, March-April 2004, pp. 2-3), but especially those of Asia and Latin America. However, a few nations outside the U.S., Canada and Australia actually benefit from a brain gain, notably Sweden and New Zealand. new Irish Institute of Science has been remarkably effective, too, in persuading young native researchers to remain in the country's industries. In today's knowledge society we must discriminate among knowledge, inventiveness, and technology, emphasized Diana Bracco, CEO of Italy's Bracco Group. We need motivated young people capable of logical thinking. research community a meritocracy, the rewards of performance are based on achievement. Environment, Safety and Security There are other factors at play, such as environmental risks. President George W. Bush's science advisor and head of the Office of Science and Technology, John H. Marburger III, spelled some out: The most important thing in terms of pollution from energy use, he said, is how we transform energy from the basic fuels. …
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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.005 | 0.013 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.001 | 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