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African leadership in brain diplomacy: The Yaoundé declaration advances the global brain economy playbook for better brain health

2025· article· en· W4410119599 on OpenAlexaff
Alfred K. Njamnshi, Jacques Fame Ndongo, Ferdinand Ngoh Ngoh, Lejeune Mbella Mbella, P.M. Ghogomu, Seraphin M. Fouda, Marie-Thérèse Abena Ondoa Obama, Madeleine Tchuinte, Alamine O. Mey, Malachie Manaouda, Joseph B. Assomo, René E. Sadi, Louis-Paul Motaze, Minette Libom Li Likeng, Pauline N. Lyonga, Laurent Serges Etoundi Ngoa, Mounouna Foutsou, Narcisse Mouelle Kombi, Bakary Issa Tchiroma, Gregoire Owona, Henri Eyebe Ayissi, Confiance Ebune Balungeli, Pierre Hele, Calistus G. Fuh, Rose F N Mbah, Pierre I Bidoung Kpwatt, Felix Mbayu, Paul N. Tasong, Jean de Dieu Momo, Jérôme P Doh, Boniface Bayaola, Vivian A Kilo, David Abouem à. Tchoyi, Dorothy L. Njeuma, Simon F Tamfu, Fru Angwafo, Sammy B. Chumbow, Remy M. Etoua, Richard L. Omgba, Horace Ngomo Manga, Roger Tsafack Nanfosso, Andrew T. Chan, François‐Xavier Etoa, Joseph Marie B. Zambo, Evelyn Mah, Michel Tommo Monthe, Salomon Eheth, Churchill Monono, Paul P. Biffot, Wilfred Gabsa, Cosmas Cheka, George Echu, Achille E. Bella, Augustina G N Fongod, Daniel U. Ndongo, Rose F. G. Leke, Jean E. Pondi, Graham Fieggen, B. B. Shehu, Rym Ayadi, Zul Merali, Sadiq Yusuf, Angela Esi Apeagyei, Kirti Ranchod, Mohamed Salama, Abdon Atangana, Eddy Ngokeu, Wilfred Ndifon, Georges Tiahou, Romain Tchoua, Lise Korsten, Agustín Ibáñez, Gagandeep Singh, Jafri Malin Abdullah, Amadi O. Ihunwo, Victor W.A. Mbarika, David A. Mbah, Wepnyu Yembe Njamnshi, Leonard Ngarka, Nene Ahidjo, Caleb Njitung, Joseph Nelson Siewe Fodjo, Paul F. Seke Etet, Jean Gustave Tsiagadigui, Anne-Cécile Bissek, Assumpta Lucienne Bella, Jean Claude Mbanya, Alexis Ndjolo, Vincent de Paul Djientcheu, Félicien Enyime Ntone, Henry Namme Luma, Emile Mboudou, JM Kasia, Robert Leke, Esther Ngo Um Meka, Gloria Ashuntantang, Ngaroua Ngaroua, Elizabeth Ngo Bum, Oudou Njoya, Wilfred Fon Mbacham, Pierre Ongolo‐Zogo, Joëlle Nsimire Chabwine, Bernard Fongang, Serge Vulliémoz, Stephen Perrig, Roman Sztajzel, Daniel Etya’ale, Jean Marie Annoni, Sarbani Chakraborty, Sarah A. Tishkoff, José E Cavazos, Gladys E. Maestre, Sudha Seshadri, Kee B. Park, Charles R. Newton, Josemir W. Sander, Arjune Sen, Judy Illes, Anthony J. Hannan, Andrea Sylvia Winkler, Vaibhav A. Narayan, Mika Pyykko, Jo‐An Occhipinti, Deborah Beck, Julie Hiromoto, Kristina Adorjan, Frédéric Destrebecq, George Vradenburg, Facundo Manes, J. Helen Cross, Daniela Filipescu, Vladimir Hachinski, Claudio L. Bassetti, Harris A. Eyre

Bibliographic record

VenueNeuroscience · 2025
Typearticle
Languageen
FieldNeuroscience
TopicNeuroethics, Human Enhancement, Biomedical Innovations
Canadian institutionsWestern UniversityNeuroDevNet
FundersWellcomeNational Institute of Neurological Disorders and StrokeRice UniversityWorld Health Organization
KeywordsDeclarationDiplomacyPolitical scienceNeurosciencePsychologyLaw

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)0.013
metaresearch head score (Gemma)0.017
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.013
Threshold uncertainty score0.071

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0130.017
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0040.006
Scholarly communication0.0060.006
Open science0.0010.010
Research integrity0.0100.018
Insufficient payload (model declined to judge)0.0120.001

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 head0.211
GPT teacher head0.394
Teacher spread0.183 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreCommentary

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

Citations4
Published2025
Admission routes1
Has abstractno

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