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Record W4411157592 · doi:10.1192/bjp.2025.118

The value of mental science: we publish what matters

2025· editorial· en· W4411157592 on OpenAlexafffund
Gin S. Malhi, Katherine Adlington, Adam Al‐Diwani, Shehzad Ali, Rina Arya, David S. Baldwin, Prathiba Natesan Batley, Erica Bell, Germán E. Berríos, Allan Beveridge, Mohan Bhat, Dinesh Bhugra, Asit B. Biswas, Sarah Byford, Colin Campbell, Hilary Cass, Rakesh Kumar Chadda, Samuel R. Chamberlain, Astrid Chevance, Erika Comasco, John Cookson, Harry Costello, Hugo Critchley, Pim Cuijpers, Angharad N. de Cates, Riccardo De Giorgi, Claire de Oliveira, Colin Drummond, Jianfeng Feng, Tamsin Ford, Andrew Forrester, John Geddes, J. Harrison, Joseph Hayes, Scott Henderson, Cyrus S. H. Ho, Philipp Homan, Neil Horn, Konstantinos Ioannidis, Edgar Jones, Eirini Karyotaki, Kenneth R. Kaufman, Ivan Koychev, Veena Kumari, Marinos Kyriakopoulos, Stephen M. Lawrie, William Lee, Anikó Lovik, Philip McGuire, Kwame McKenzie, Edoardo G. Ostinelli, Femi Oyebode, Sarah Peters, Eva Petkova, Michael R. Phillips, Mariana Pinto da Costa, Thomas J. Reilly, Emmert Roberts, Joanne Rodda, A. John Rush, Rob Saunders, Thomas G. Schulze, Frauke Schultze‐Lutter, Sukhwinder S. Shergill, Gurubhaskar Shivakumar, Dan Siskind, Mustafa Soomro, Ramya Srinivasan, Athula Sumathipala, Kinga Szymaniak, Eric J. Tan, Leila Tarokh, Derek K. Tracy, Stuart Watson, Richard L. Williams, Jingwei Wu, Allan H. Young, Yaara Zisman‐Ilani, Emilio Fernández-Egea

Bibliographic record

VenueThe British Journal of Psychiatry · 2025
Typeeditorial
Languageen
FieldNeuroscience
TopicPsychology of Moral and Emotional Judgment
Canadian institutionsWellesley InstituteUniversity of TorontoInstitute for Clinical Evaluative SciencesCentre for Addiction and Mental HealthWestern University
FundersCilagEconomic and Social Research CouncilMedical Research CouncilFogarty International CenterCanadian Institutes of Health ResearchNIHR Maudsley Biomedical Research CentreNational Institutes of HealthVersus ArthritisForskningsrådet om Hälsa, Arbetsliv och VälfärdAngelini PharmaNational Taiwan UniversityVictoria General Hospital FoundationFondation de FranceNovo NordiskNational Institute of Mental HealthFondation pour la Recherche MédicaleNewcastle UniversityVetenskapsrådetEisaiNational Natural Science Foundation of ChinaAustralian Rotary HealthBritish AcademyGreat Britain Sasakawa FoundationNational Institute for Health and Care ResearchWellcome TrustUniversity of SouthamptonAlzheimer's SocietyMichael Smith Health Research BCServierFundação BialDunhill Medical TrustImperial College LondonLivaNovaMental Health Research UKGuarantors of BrainH. Lundbeck A/SSunovionEngineering and Physical Sciences Research CouncilRoyal College of PsychiatristsIdorsia PharmaceuticalsKarolinska InstitutetNational Alliance for Research on Schizophrenia and DepressionNational Health and Medical Research CouncilAstraZenecaUK Research and InnovationEli Lilly and CompanyAmerican Foundation for Suicide Prevention
KeywordsPublicationMental healthPublishingValue (mathematics)PortfolioPsychologyPsychiatryPublic relationsMedicinePolitical scienceBusinessComputer scienceLawFinance

Abstract

fetched live from OpenAlex

Summary Recent changes to US research funding are having far-reaching consequences that imperil the integrity of science and the provision of care to vulnerable populations. Resisting these changes, the BJPsych Portfolio reaffirms its commitment to publishing mental science and advancing psychiatric knowledge that improves the mental health of one and all.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

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)0.019
metaresearch head score (Gemma)0.092
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: Evaluation · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Editorial · Consensus signal: Editorial
Teacher disagreement score0.981
Threshold uncertainty score0.101

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0190.092
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0040.002
Bibliometrics0.0050.002
Science and technology studies0.0050.005
Scholarly communication0.0170.008
Open science0.0040.002
Research integrity0.0180.028
Insufficient payload (model declined to judge)0.0190.015

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 head0.018
GPT teacher head0.278
Teacher spread0.260 · 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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

Study designNot applicable
DomainEvaluation
GenreEditorial

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

Citations5
Published2025
Admission routes2
Has abstractyes

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