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2022· book-chapter· en· W4285272442 on OpenAlexaff
Ladan Ajdanian, Hanife Akça, Muhittin Onur Akça, Behnam Asgari Lajayer, Waleed Asghar, Tess Astatkie, Mehdi Babaei, Ayush Bahuguna, Khosro Balilashaki, Reshu Bhardwaj, Abhishek Bharti, Protha Biswas, Oluwole Oluwatoyin Bolanle, Charline Bonatto, Bandana Bose, Aline Frumi Camargo, Subhash Chand, Jyoti Chauhan, Dipanti Chourasiya, Vallabhaneni Tilak Chowdary, Zahra Dehghanian, Abhijit Dey, Jagana Divya, Tusheema Dutta, Padmanabh Dwivedi, Saurabh Dwivedi, Raji Fatima, Manal Fawzy, Cristiane Funghetto Fuzinatto, Rahul Gajghate, Fernando Carlos Gómez‐Merino, Libia Fernanda Gómez-Trejo, T. Hemadri, Akash Hidangmayum, Mohamed Hosny, C. S. Jayaram, Ryota Kataoka, Harpreet Kaur, Manmeet Kaur, Natalia Klanovicz, Basant Kumar, Vivek Kumar, Hemant S. Maheshwari, Alaa El Din Mahmoud, B. L. Manisha, Udit Nandan Mishra, Monireh Mones Sardrodi, Chandra Muktesh, Lelika Nameirakpam, Samapika Nandy, Pooja Nikhanj, Abodurin Josephine Olabisi, Ibironke Olaide, Letícia Paliga, Astha Pandey, Devendra Kumar Pandey, Anil Prakash, Ashish Rai, M. Ramaiah, N. Ramana, SK Roshan Baba, Rubén Ruvalcaba‐Ramírez, Sanjib Kumar Sahoo, Seema Sangwan, Anjney Sharma, Mahaveer P. Sharma, Pankaj Sharma, Sachin Sharma, Singh Shiwani, Meena Sindhu, Ankita Singh, Bansh Narayan Singh, Joginder Singh, Mohini Prabha Singh, Pratiksha Singh, Rajesh Kumar Singh, Rajesh Kumar Singhal, Harpreet Singh Sodhi, Fábio Spitza Stefanski, Ommolbanin Jafari Tarf, Pushpendra Tiwari, Ajay Tomer, Helen Treichel, Libia Iris Trejo‐Téllez, Oğuz Can Turgay, P. Kishore Varma, Andressa Warken, Leela Wati, Bharti Yadav

Bibliographic record

VenueElsevier eBooks · 2022
Typebook-chapter
Languageen
FieldEconomics, Econometrics and Finance
TopicDiverse Scientific and Economic Studies
Canadian institutionsDalhousie University
Fundersnot available
KeywordsComputer scienceHistory

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 score0.204
Threshold uncertainty score0.291

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)0.7960.763

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 head0.030
GPT teacher head0.198
Teacher spread0.168 · 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
Published2022
Admission routes1
Has abstractno

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