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2025· book-chapter· en· W4407026730 on OpenAlexaff
Enoch Oluwalonimi Adewara, Pratik Agrawal, Fernando Aguel, Monirah A. Albabtain, Turki Al Garni, Anas Alharbi, Zaid Al Jebaje, Zakaria Almuwaqqat, Ahmed Alnajar, Abdulrahman M. Alqahtani, Bader Alqarni, Maha Al‐Rasheed, Junedh Amrute, Rachel Magdalene Sabina Andrew, Precious Idorenyin Anthony, Amr A. Arafat, Dhruvil Ashishkumar Patel, Heena Kaushal Asnani, Elizabeth A. Babcock, Abeer Bakhsh, Dhrubajyoti Bandyopadhyay, Basha Behrman, Kelley N. Benck, Sanjeev P. Bhavnani, Suryasnata Bhowmik, Suman Biswas, L. Calegari, Luiz Campedelli, Cristiano de Oliveira Cardoso, Chloe Carr, Gabriel Cavalcante Lima Chagas, S. R. Wayne Chen, Henrique Coelho, Thomaz Alexandre Costa, Ramesh Daggubati, Carlos André Balthazar da Silveira, Kurt A. Dasse, Marianna Daibes Rachid de Andrade, Pedro Melo, Jeremiah P. Depta, Ana Carolina Souza, Kamil Detyniecki, Sami El-Qadi, Abdelmotagaly Elgalad, A. V. Evans, Ronaldo Correa Fabiano, Medhat Farwati, Carolina Ferraz, Karley B. Fischer, Binita Ghosh, André Luiz Nunes Gobatto, Karthik Gonuguntla, Syed Haider, Adrija Hajra, Sameer Hirji, Joel Horovitz, Mudathir Ibrahim, Jade Iwasaka-Neder, A. Jain, Vikash Jaiswal, Michael John, Rosaria Jordan, Carlos Alberto Campello Jorge, Cedric Kamani, Tsuyoshi Kaneko, Faith Kanneh, Aaron V. Kaplan, J. Kasakewitch, Risheek Kaul, Ridhima Kaul, Akram Kawsara, André Pascal Kengne, Muhammad Zia Khan, Khola Waheed Khan, Benjamin J. Kopecky, Yugandhar Kothapalli, Danisha Kumar, Sergio R. Labra, Joseph Lamelas, Ke Li, Bruno B. Lima, Dorgival Morais de Lima Júnior, Jonathan Teng Fai Loke, Marcela de Almeida Lopes, Clauden Louis, Dipesh Ludhwani, Levy Jo D. Manuntag, Samantha Eugene D. Manuntag, Christina M. Mapp, Alice Deberaldini Marinho, Beatriz Marinho, Peter McCulloch, Juliet Meir, Angel Moctezuma-Ramirez, Marco A. Morales‐Garza, Matheus José Barbosa Moreira, Jonathan D. Moreno, Thomaz R. Mostardeiro, Filipe A. Moura, Michael G. Nanna, Zachariah B. Nealy, Guileonne Ngnitewe, Anthony Lyonga Ngonge, Raquel Nogueira, Brice Nouthé, Joseph Nowatzke, Nso Nso, Favour Oludunni Ojebiyi, D. Patel, Bishow Mohan Paudel, Pradipta Paul, Victor Perim, Luka Petrovic, William Plath, Adam J. Prince, Gabriel Prusch, Amanda Ribeiro Rangel, Ana Caroline Dias Rasador, Isildinha M. Reis, João Batista Teixeira da Rocha, Eduardo Rochitte, Carlos Eduardo Rochitte, Amr Salama, Gustavo Sanchez, Guylherme Saraiva, Abdullah Sarkar, Yasar Sattar, Anna Scandinaro, Luiza Giuliani Schmitt, Mehdi Shadmand, Ayesha Shaik, Chen Shaw-Ree, Christine Shen, Letícia Maria Tedesco Silva, Melissa Lou Silva, A. Silva, R. Silva, Matheus Simonato, Harsimran Singh, Uma S. Singh, Alex C. Smith, Jayakumar Sreenivasan, Samian Sulaiman, Jinmeng Rao, Badal Thakkar, Sherri R. Thumma, Aditi Ujjawal, Damian Valencia, Jef Van den Eynde, Júlia Lemos Lima Verde, Alysa Vereen, Dominique Vervoort, Adam Vohra, M.A. Waheed, Anam Waheed, Isaiah V.N. Ware, Naira Link Woite, Emily P. Zeitler

Bibliographic record

VenueElsevier eBooks · 2025
Typebook-chapter
Languageen
Field
Topic
Canadian institutionsMcMaster UniversityHamilton Health Sciences
Fundersnot available
KeywordsPsychology

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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