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Record W4247782793 · doi:10.4337/9781847201645.00009

Preface

2006· book-chapter· en· W4247782793 on OpenAlexaboutno aff

Bibliographic record

VenueEdward Elgar Publishing eBooks · 2006
Typebook-chapter
Languageen
FieldBusiness, Management and Accounting
TopicIntellectual Property and Patents
Canadian institutionsnot available
Fundersnot available
KeywordsComputer science

Abstract

fetched live from OpenAlex

This book is the outcome of a series of conversations which began in Cargèse, Corsica in 2001 between Jan Fagerberg and Louise Earl on directions for future research on innovation.The dialogue continued, expanded to include others and resulted in a research workshop hosted by Statistics Canada in Ottawa in October 2003.Many of the chapters in this book were first presented at the Ottawa workshop.Developing research programmes within institutions such as statistical agencies, policy departments and universities requires active participation in foresight exercises.Those that are successful bring together researchers with different backgrounds and research perspectives who bring cross-disciplinary insights to the table.The intent of this book is to capture these perspectives and provide insights for future research.One area of future research is improved understanding of the outcomes and impacts of innovation on the economy and society.Information and communication technology use has spread throughout the world.It is now possible to send instant pictures to handheld devices as events occur.People turn to the Internet as a source of information, to conduct research, to access government services, to make purchases and for entertainment purposes.The Human Genome Project has spurred the public interest in and debate of scientific knowledge.Genetically modified foods have brought biotechnology to the forefront and recently the press has begun to focus on nanotechnology.With the signing of the Kyoto Agreement, more countries and industries are looking at alternative sources of energies leading to the development of hybrid cars, ethanol gas production, and research into hydrogen power.These examples illustrate the interaction between the activity of innovation and the economy and the society.Innovation through technological change does not occur in isolation.It is linked to how organizations are managed and how they market their products.Innovation has impact on people, their societies, their cultures and the economies in which they live.Theorists, practitioners, empiricists and policy makers are all working towards developing an understanding of the complex interactions and relationships within systems of innovation.Spatial barriers between actors within systems of innovation are changing due to information and communication technology.However, these actors must still conform to current social and cultural norms of communication xvi

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.109
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0050.002
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.004

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 head0.087
GPT teacher head0.199
Teacher spread0.112 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

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".

Quick stats

Citations0
Published2006
Admission routes1
Has abstractyes

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