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List of contributors

2019· book-chapter· en· W4249645883 on OpenAlexaff
Levita Acosta-Lagrada, Gary Ades, Nick Ahlers, Faraz Akrim, Daniel Alempijevic, Dexter Alvarado, Shaista Andleeb, Brou Guy-Mathieu Assovi, Sam Ayebare, Guillaume Billet, Timothy C. Bonebrake, Anbarasi Boopal, Tom Bruce, Gayle Burgess, Francis Cabana, Rod Cassidy, Tamar Cassidy, Daniel W. S. Challender, Jung‐Tai Chao, Shavez Cheema, Tina Ting-Yu Chen, Cheng Wenda, Jason Shih-Chien Chin, Yi Fei Chung, Rosie Cooney, Desiré L. Dalton, Tim R. B. Davenport, Enrico Di Minin, Holly Dublin, Sérgio Ferreira‐Cardoso, Louise A. Fletcher, Andrew Fowler, Philippe Gaubert, Timothy J. Gaudin, Maja Gudehus, Lam Kim Hai, Stuart R. Harrop, John Hart, Térese B. Hart, Anna Hausmann, Lionel Hautier, Martin Hega, Sean P. Heighton, Sarah Heinrich, Michael R. Hoffmann, Rachel Hoffmann, Ichu Godwill Ichu, Daniel J. Ingram, Nausheen Irshad, Nian‐Hong Jang‐Liaw, Raymond Jansen, Zhigang Jiang, Jessica Jimerson, Jim Kao, Prativa Kaspal, Lydia K.D. Katsis, Ambika Prasad Khatiwada, Antoinette Kotzé, Ade Kurniawan, Juan Lapuente, Natalie Lawrence, Paige B. Lee, Caroline Lees, Chenny Li, Hou‐Feng Li, Jocy Yu-Wen Li, Norman T.‐L. Lim, Chung‐Chi Lin, Flora Hsuan‐Yi Lo, Karin Lourens, Sonja Luz, Tariq Mahmood, Fiona Maisels, David Mills, Rajesh Kumar Mohapatra, Dana J. Morin, Helen C. Nash, Constant Ndjassi, Bruno Nebe, Leo Niskanen, Stuart Nixon, Rob Ogden, Alegría Olmedo, Annette Olsson, Colman O’Criodain, Wendy Panaino, Sudarsan Panda, Elisa Panjang, Keri Parker, Kumar Paudel, Priyan Perera, Darren W. Pietersen, Christian Plowman, Paul Rankin, Madhu Rao, Amy E. Roberts, Dilys Roe, Sabine Schoppe, Gono Semiadi, Sandhya Sharma, Chris R. Shepherd, Matthew H. Shirley, Diane Skinner, Olufemi Sodeinde, Withoon Sodsai, Durojaye A Soewu, Bee Choo Ng Strange, Nick Ching‐Min Sun, Tulshi Laxmi Suwal, Jonathan Swart, Sanjan Thapa, Paul Thomson, Kathy Traylor‐Holzer, Michael ’t Sas‐Rolfes, Diogo Veríssimo, A. P. Vishwanath, Martin Walsh, Muhammad Waseem, Carly Waterman, John R. Wible, Leanne Wicker, D. R. C. Willcox, Oliver Withers, Nicci Wright, Wendy Wright, Shibao Wu, Shuang Xing, Yishuang Yu, Fuhua Zhang, Mingxia Zhang, You-long Zhou, Tenke Zoltani

Bibliographic record

VenueElsevier eBooks · 2019
Typebook-chapter
Languageen
FieldEconomics, Econometrics and Finance
TopicDiverse Scientific and Economic Studies
Canadian institutionsTula Foundation
Fundersnot available
KeywordsHistory

Abstract

fetched live from OpenAlex
No abstract in any covered source. Its absence is recorded, not treated as a negative.

No abstract. This is not a gap in this database; OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.

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)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient 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 score0.216
Threshold uncertainty score0.308

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0070.005
Science and technology studies0.0020.000
Scholarly communication0.0050.004
Open science0.0020.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.7840.746

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 head0.027
GPT teacher head0.196
Teacher spread0.169 · 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; the direct Gemma label and the distilled Codex classifier 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
Published2019
Admission routes1
Has abstractno

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