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Record W4245822628 · doi:10.1016/s1572-0977(06)12011-7

List of Contributors

2006· book-chapter· en· W4245822628 on OpenAlexaff
Henrik Berglund, Michael Beyerlein, Sam Boutilier, Ming-Luen Chang, Susan P. Hocevar, Erik Jansen, Avan R. Jassawalla, Frances A. Kennedy, Yue Lin, Lina Longhitano, Cynthia T. Matthew, Rod B. McNaughton, David Pollard, Claudia A. Sacramento, Hemant Sashittal Bittner, Lydia L. F. Schleifer, Robert J. Sternberg, Stefania Testa, Gail L. Fann, Karl Wennberg, Michael West

Bibliographic record

VenueAdvances in interdisciplinary studies of work teams · 2006
Typebook-chapter
Languageen
FieldPsychology
TopicTeam Dynamics and Performance
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsPublishingIntermediaryKnowledge managementPolitical sciencePublic relationsManagementBusinessSociologyLibrary scienceEngineeringMarketingComputer science

Abstract

fetched live from OpenAlex

Citation (2006), "List of Contributors", Beyerlein, M.M., Beyerlein, S.T. and Kennedy, F.A. (Ed.) Innovation through Collaboration (Advances in Interdisciplinary Studies of Work Teams, Vol. 12), Emerald Group Publishing Limited, Bingley, pp. vii-viii. https://doi.org/10.1016/S1572-0977(06)12011-7 Publisher: Emerald Group Publishing Limited Copyright © 2006, Emerald Group Publishing Limited Book Chapters List of Contributors Acknowledgments About the Editors Introduction Collaboration in Cross-Functional Product Innovation Teams Leading Innovation through Collaboration Communities of Practice: A Critical Perspective on Collaboration Team Innovation through Collaboration Innovation: Achieving Balance among Empowerment, Accountability and Control Innovation and Technology Transfer Intermediaries: A Systemic International Study Collaboration, Proximity, and Innovation Social Networking and the Development of New Ventures Creation of a Collaborative Environment for Innovation: The Effect of a Simulation Tool's Development and Use Building Collaborative Capacity: An Innovative Strategy for Homeland Security Preparedness

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.632
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.016
GPT teacher head0.354
Teacher spread0.338 · 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 teacher head, not a consensus.

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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