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2025· book-chapter· en· W4410971271 on OpenAlexaff
Ali Abbas, Iffat Zareen Ahmad, Mohammad Ahmadabadi, Naseer Ahmed, Rafi Ahmed, Ronilson Carlos Araújo, Behnam Asgari Lajayer, Sk Md Asif, Hira Aslam, Tess Astatkie, Anjana J. Atapattu, Fouzieh Beigmohammadi, Laxmi Kant Bhardwaj, Rajan Bhatt, Victor Hugo Buttrós, Ayesha Iftikhar Cheema, Ederson da Conceição Jesus, Debasmita Das, Sunanya Das, Munmun Dash, Luana Alves de Andrade, Zahra Dehghanian, Subhankar Dhar, Fahima Dilnawaz, Sonam Dwivedi, Edvan Teciano Frezarin, Dinkar Jagannath Gaikwad, Harun I. Gitari, Himansu Sekhar Gouda, Vahideh Gougerdchi, Akbar Hossain, Sabir Hussain, Mst. Tanjina Islam, Tawseefa Jan, Joy M. Joel, Riya Johnson, Nagaraj Kandhasamy, Surendirakumar Kannaiah, Tanvir Kaur, Mona Kejariwal, Divjot Kour, Anu Kumar, Aradhna Kumari, Ranjith Kumavath, Sivarama Krishna Lakkaboyana, Faisal Mahmood, Meeta Mathur, Rukmini Mishra, Sathish Muthukrishnan, P. K. Nayak, Rajeshwari Negi, Radha Raman Pandey, Aparna Pareek, Moacir Pasqual, Archita Patra, Ratneswar Poddar, Subhashisa Praharaj, Biswajit Pramanick, G.W. Price, Jos T. Puthur, Ambady Ramachandran, Prangya Rath, Sumit Ray, Everlon Cid Rigobelo, Filipe Almendagna Rodrigues, Sarvesh Rustagi, Sonupriya Sahu, Masina Sairam, Luziane Ramos Sales, Nisha Sam Nirmala, Carlos Henrique Barbosa Santos, D.T. Santosh, Arindam Sarkar, Debopam Sarkar, Arup Sen, Ana Milena Gómez Sepúlveda, Muhammad Shahid, Babita Sharma, Divya Sharma, Pooja Sharma, Parveen Khan, Neerja Shrivastava, Chandra Prakash Shukla, Santosh Kumar Singh, Binod Prasad, Eisa Solgi, Saloni Soni, M. Subhosh Chandra, Ayushi Suratramka, P. Suresh Yadav, Anandhan Tamilselvan, Eswar Rao Tatta, Syeda Khola Tazeen, Subramaniyan Vaithilingam, Ajar Nath Yadav, Ashok Yadav, Neelam Yadav

Bibliographic record

VenueElsevier eBooks · 2025
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)0.005
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 score0.202
Threshold uncertainty score0.288

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
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)0.7980.763

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 head0.023
GPT teacher head0.202
Teacher spread0.178 · 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
Published2025
Admission routes1
Has abstractno

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