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2025· book-chapter· en· W4411292896 on OpenAlexaff
Aanchal Aanchal, Ranjana Bhandari, Shalmoli Bhattacharyya, Vijayta D. Chadha, Ramesh Chandra, Deepak Chandran, Mary Chatterjee, Gerard Cornelissen, Ritu Dahiya, Arunava Das, Megha Dave, Fabien De Meester, Kirti Dhingra, Małgorzata Domagalska, Krishna Dhar Dwivedi, Hanna Dziewiecka, Zahra Emam‐Djomeh, Vivek Kumar Garg, Sara Gashtasebi, Anchal Ghai, Varun Gorki, K. Griffiths, Shruti Gupta, Puja Panwar Hazari, Sabir Hussain, Poonam Jaglan, Selvaraj Jayaraman, Ankitha Indu Jisha, Vandita Kakkar, Raji Kaliyaperumal, Farzaneh Kamandloo, Shamsher S. Kanwar, Anna Kasperska, Om Prakash Katare, Ginpreet Kaur, Jaspreet Kaur, Prabhnain Kaur, Keerthana Krishna Kumar, Parveen Kumari, Bikash Medhi, Mona Miran, Neelima Mishra, Pran Mohankumar, F. Javier Moreno, Raktim Mukherjee, Joanna Ostapiuk–Karolczuk, C. R. Pillai, Pritiman Pothal, Sureshkumar Rajalingam, Katrin Sak, Maryam Salami, Jasmine Sati, S. Shrivastav, Anand Narain Singh, Baljinder Singh, R.B. Singh, Siril Singh, Anna Skarpańska-Stejnborn, R.C. Sobti, István G. Télessy, Toshiyuki Takahashi, C.V.E. Tokalon, Diksha Tokas, Hardeep Singh Tuli, Vanitha Velusamy, Manoj Verma, Sabareeshwari Viswanathan, Ramanpreet Walia, Neha Sylvia Walter, Douglas W. Wilson, Karishma Yadav, Rajni Yadav

Bibliographic record

VenueElsevier eBooks · 2025
Typebook-chapter
Languageen
Field
Topic
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsComputer science

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)0.000
metaresearch head score (Gemma)0.002
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 score0.258
Threshold uncertainty score0.369

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.003
Science and technology studies0.0020.001
Scholarly communication0.0060.004
Open science0.0010.003
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.7420.676

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 head0.012
GPT teacher head0.245
Teacher spread0.233 · 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".

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Citations0
Published2025
Admission routes1
Has abstractno

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