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Decolonizing Global Surgery
Fábio Botelho, E. A. dos Reis, K.D.S. Ribeiro, Matheus Daniel Faleiro, Natália Zaneti Sampaio, Luiz Marcião, Henry Ndasi, Marta Whyte, Laure Djadje, Vanessa Nono Youmbi, Surafeal Tafesse, Abenezer Tirsit, Mersha Abebe, Juventine Asingei, Helena Franco, Deeptiman James, Varun Bansal, Himanshu Iyer, Ritika Shetty, Gabriel Ouma, Sayed Shah Nur Hussein Shah, Elijah Mlinde, Myles Dworkin, Samuel Paek, Togo Adégné, Damilola Jesuyajolu, Thomas M. Diehl, Laurie Milligan, Daniel Kisitu Kyengera, Alemayehu Ginbo Bedada, Jeongyoon Moon, Natalie Pawlak, Ines Perić, Lior Sasson, Rajan Bola, AMANDA CIPRIANO TORQUATO, Anja Džunic, Catherine Binda, Amy Paterson, Mina Salehi, Michael J. Flores, Karen W. Gripp, Natalie Yanchar, Abbie Naus, Dan Poenaru, Robert Baird, Leonildo Farias, Ana Gabriely Silva, F. M. P. Viana, José Armando Pessoa Neto, Sidney Silva, Luana Antunes Maranha Gatto, Miguel Godeiro Fernandez, Lucas Sousa Salgado, Anna Luiza Mendes, Rodrigo Vaz Ferreira, Gabriel Canto, José Wicto Pereira Borges, Víctor Araujo, Joyce Braga, Lívia Guerreiro de Barros Bentes, Luís Ramos Pinto, Lahin M. Amlani, Ghislain Aminake, Xavier Penda, Serge Tima, A Lechtig, Melinda Fowler-Woods, Amanda Fowler-Woods, Geraldine Shingoose, Andrew R. Hatala, Felicia Daeninck, Ashley Vergis, Kathleen Clouston, Krista Hardy, Olga Mbougo Djoutsop, Adrien Tangmi Djabo, Ulrick Sidney Kanmounye, Patricia K. Kakobo, Bisrat Tamene, Zelalem Chimdesa, E Alemayehu, Birhanu Abera, Dawit Yifru, Negussie Deyassa, Bente E. Moen, Terje Sundstrøm, Morten Lund‐Johansen, Rabia Khan, Amha Mekasha, Sophie Soklaridis, Faizal Haji, Eric O’Flynn, Diarmuid O’Donovan, Sophia C. Masuka, Doreen Mashava, Faith V. Akello, Mpoki Ulisubisya, Abdoulie Njai, Samuel K. Simister, Micelle Joseph, Pierre Marie Woolley, Faye M. Evans, Ekta Rai, Jyoti Kamble, Anna Aroke, Siddarth David, Deepa Kizhakke Veetil, Kapil Dev Soni, Martin Gerdin Wärnberg, João Ricardo Nickenig Vissoci, Siddhesh Zadey, Anushka Jindal, Carrie Hinchman, Isaiah Michael Rayel, Collin J. May, Leonard Banza, Linda Chokotho, Foster Mbomuwa, Paul Chidothi, Claude Martin, William James Harrison, William James Harrison, Poudiougo Abdoulmouinou, Traoré Amadou, Youssouf Traoré, Konaté Madiassa, Dicko Moussa Younoussa, Samaké Moussa, Amadou Bah, Touré Hawa, Abramowitz Laurent, Charles Arinze Okeke, Otomi Obuh, Peace Erinose Ehizibue, Nnamdi E. Ikemefula, Jamike Ekennia-Ebeh, Abdulqudus A. Ibraham, Obinna Ikegwuonu, Gisele Juru Bunogerane, Dan Neal, Alain Jules Ndibanje, Robin T. Petroze, Edmond Ntaganda, Lydia Cairncross, Francois Malherbe, Liana Roodt, Nathan N. O’Hara, David Stockton, Marvin Hsiao, Unami Chilisa, Brianne Yarranton, Nkhabe Chinyepi, Georges Azzie, Zachary Rehany, Mehrshad Bakhshi, Amy Bergeron, Nathalie Boulanger, Larry Watt, Evan G. Wong, Christine Bierema, Emmanuel Ameh, Abebe Bekele, María F. Jiménez, Kokila Lakhoo, Hernan Sacato, Girma Tefera, Doruk Ozgediz, Sudha Jayaraman, George Youngson, Eric Borgstein, Joana Simões, Pamela Alice Kingsley, Hagi Dekel, Alona Raucher Sternfeld, Sagi Assa, Racheli Sion Sarid, Naizihijwa Joel Mnong’one, Godwin Godfrey Sharau, Stella Mongella, William Goldstein Caryl, Bernard Goldman, Joseph Ngonzi, Raymond Bernard Kihumuro, Ronald Lett, Clara Tavares, Gabriele Eckerdt Lech, Victoria Gusa, Rosemary Apeaii, Rafat Noor, Rajan Bola, Isaac Ohene Guyan, Jan Christilaw, Stephen Hodgins, Kayoung Heo, Samuel Cheng, Hannah Foggin, Nina Maerkl, Grace Hu, Sheila Lam, Lydia Feng, Alisha Labinaz, Jayd Adams, Rachel Livergant, Sacha Williams, Tamilarasy Vasanthakumaran, Youcef Lounes, Juan Mata, Philip Hache, Christian Schamberg-Bahadori, Adaw Monytuil, Emmanuel Mayom, Émilie Joos, Salome Maswime, Anneli Hardy, Rupert M. Pearse, Bruce Biccard, Irena Živković, Sukhdeep Jatana, Kelsey Brown, Heather Roberts, Claire A. Donnelley, Ericka P. von Kaeppler, Edmund Eliezer, Billy T. Haonga, Saam Morshed, David Shearer
Bibliographic record
VenueCanadian Journal of Surgery · 2022
Typereview
Languageen
FieldMedicine
TopicGlobal Health and Surgery
Canadian institutionsMcMaster UniversityVancouver General HospitalUniversity of AlbertaHealth Sciences CentreSunnybrook Health Science CentreNunavik Regional Board of Health and Social ServicesHospital for Sick ChildrenRoyal Columbian HospitalUniversity of British ColumbiaUniversity of TorontoMontreal Children's HospitalUniversity of ManitobaThe Wilson CentreAlberta Children's HospitalMcGill UniversityMakivik CorporationBC Children's Hospital
FundersNational Institute for Health and Care Research
KeywordsMedicineLow and middle income countriesPediatricsMinor (academic)PsychiatryDeveloping country
Abstract
# Overcoming barriers to pediatric trauma education in low-and middle-income countries {#article-title-2} Trauma remains a leading cause of child mortality and disability worldwide, taking the lives of 1 million children annually. Of all deaths from pediatric trauma, 95% occur in low- and middle-
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 imitationNot 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)0.005
metaresearch head score (Gemma)0.009
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies, Open science
Consensus categoriesnone
DomainCandidate signal: Evaluation · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.999
Threshold uncertainty score0.128
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.004 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.009 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.038 | 0.004 |
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 head0.183
GPT teacher head0.364
Teacher spread0.180 · 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 source (direct Gemma or distilled Codex), not a consensus.
Study designTheoretical or conceptual
DomainEvaluation
GenreReview
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
Citations7
Published2022
Admission routes3
Has abstractyes