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Record W4285655670 · doi:10.13169/prometheus.36.3.0294

Book review

2020· article· en· W4285655670 on OpenAlexaboutno aff
William Kingston

Bibliographic record

VenuePrometheus · 2020
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicIntellectual Property and Patents
Canadian institutionsnot available
Fundersnot available
KeywordsComputer science

Abstract

fetched live from OpenAlex

The speed and volume of Far-Eastern -especially Chinese -innovation in business and technology have left Western economies reeling.Western scholars of innovation have also been struggling to keep up.An outstanding exception amongst these is the author of this book, John A. Mathews, of Macquarie University in Australia.The book has already been recognized, first as the source of two articles in Nature, and more recently by the award of the prize offered by the international Joseph Schumpeter society for the best book on economic innovation.Schumpeter, as most readers of Prometheus will not need to be reminded, is the founder of economic innovation studies.Many of his insights on this topic remain uncontested -the most devoted members of the society that exists to promote his teaching would even claim some to be incontestable.Although development throughout the Far East has depended upon capture of Western innovations, individual countries have had different emphases in doing this.Japan was the first, beginning as early as the 1870s with policies of learning only from the best in the world, including Britain for a navy, Prussia for an army and the US patent system for industrial development.In the era after World War II, they focused on incremental innovation, by analysing and improving every single component of Western products and then raining down the results on world markets through 'torrential exports'.India was unique in refusing to join the international convention on intellectual property, because it wanted to build up an indigenous pharmaceutical industry.This gave its firms a double advantage: Western firms were denied the power to file pre-emptive patent applications in India, and Indian firms were free to access the formulae of new drugs simply by reading them as soon as they were compulsorily published on patent databases.As a policy, this was so successful that the best Indian firms reached the stage of discovering new drugs themselves, and began to press their government to join the convention so that they could have patent protection abroad.The characteristic Chinese method of technology transfer has been to allow Western firms access to its conditions for low-cost manufacturing, but only if they took on a local partner.Mathews is less concerned with these past approaches than with the future innovations that the worldwide problem of climate change needs.His starting point is that all economic development depends upon energy, which in the West has come overwhelmingly from fossil fuels.However, this source will not scale up to the levels needed by such countries as China and India for their further industrialization.These and other countries on the same trajectory will have to find out how 'to feed their huge energy and resource appetite in ways that enable them to evade the geopolitical limits to growth'.Mathews is clear that these limits do not stem only from having to face 'unbreathable air and undrinkable water, but also civil wars, revolution and terror'.Mathews begins by introducing and discussing his CERES (circular economy and renewable energy system) concept.This depends essentially on decoupling, meaning that every increment of economic growth has to be matched by a smaller increment of environmental impact.He deals with current and future means of achieving this, and ends with wondering whether there is, in fact, any way of reconciling ecology with economics.Clearly, if there is, it will depend upon technological innovation, and while China and similar countries have proved to be superb at this (look at how they have brought down the cost of solar energy), the world still depends disproportionately on Western countries for inventions.For example, one of the prototype means of extracting carbon dioxide from the air and turning it into a saleable fuel has huge promise for combating global warming and now operates in Canada and Switzerland.But the world's ability to invent has been seriously damaged by the way interests have been allowed to shape property rights to suit themselves, rather

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.386
Threshold uncertainty score0.876

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.004
Science and technology studies0.0010.001
Scholarly communication0.0060.003
Open science0.0020.002
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.3860.282

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.

Opus teacher head0.166
GPT teacher head0.244
Teacher spread0.078 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

Study designNot applicable
Domainnot available
GenreReview

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".

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Citations0
Published2020
Admission routes1
Has abstractyes

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