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African leadership in brain diplomacy: The Yaoundé declaration advances the global brain economy playbook for better brain health
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
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.007
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.789
Threshold uncertainty score1.000
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.003 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 status
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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