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Contributors

2025· book-chapter· en· W4415754948 on OpenAlexaff
Manzar Abbas, Gholamreza Abdi, Muhammad Abubakar, Afaq Ahmad, Gulzar Ahmad Nayik, Isam A. Mohamed Ahmed, Shoaib Ahmed, Zubair Ahmed, Hina Ali, Ali Ali Redha, Rotimi E. Aluko, Kashif Ameer, Syeda Tasmia Asma, Kanza Aziz Awan, Imed E Benmebarek, Michelle Coutiño Díaz, Zeki Gürler, Monjurul Haq, Saqib Hassan, Muzzamal Hussain, Muhammad Imtiaz, Muhammad Jawad Iqbal, M. R. Islam, Waseem Khalid, Sanjan Kumar, Sanjeev Kumar, M.A.H. Mithu, Md. Mohibbullah, Syed Naqvi, Asif Wares Newaz, Bushra Niaz, Uzma Noor Shah, Santwana Palai, Dayanand Peter, Arnold Prieto Martínez, Arpita Priyadarshini, Charalampos Proestos, Thottiam Vasudevan Ranganathan, Amara Rasheed, Izza Faiz ul Rasool, Ayesha Saddiqa, Nancy Saini, Debasmita Sarkar, Syed Rizwan Ali Shah, Ravi Shankar, Anchal Sharma, Angel Elizabeh Shine, Rattan Singh, Prabhakar Singh, Muhammad Sohail, Maryam Abbasi Tarighat, Urwa Tariq, Ab Waheed Wani, Usama Younas, Hamna Zafar, Ayesha Zafar, Reza Zare, Dhiman Zarina

Bibliographic record

VenueElsevier eBooks · 2025
Typebook-chapter
Languageen
Field
Topic
Canadian institutionsUniversity of ManitobaResearch Manitoba
Fundersnot available
Keywordsnot available

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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