Thirty-Nine Years of African Politics: The Influence of Edmond J. Keller / Panel II - Institution-Building & Mentoring: Dialogical Processes
Bibliographic record
Abstract
Among scholars of African politics, Edmond Keller stands out as a key voice in the last three decades of the field. The study of Horn of Africa politics, democratization and human rights, along with crucial, intellectual and political trends such as Afro-Marxism, citizenship, federalism and religious identities have all been the subject of his scholarly work. From early teaching positions at Indiana University and UC Santa Barbara, through his long and distinguished tenure at UCLA, Professor Keller has mentored generations of scholars, and has been a leader in recruiting African and African American students into the study of Africa. Two roundtables will analyze the intellectual contributions of Keller’s work, his roles as scholar, mentor, administrator and policy analyst, and his leadership in African Studies more generally. Keller’s career at UCLA includes a decade as Director of the African Studies Center, five years as founding director of the Globalization Research Center–Africa, and two terms as Chairman of the Department of Political Science. He is also a co-founder of the Uongozi (Leadership) Institute, East Africa – a next generation leadership program inaugurated by the University of Dar es Salaam in collaboration with the University of Nairobi, Makerere University, and UCLA’s African Studies Center. A recipient of the ASA’s Distinguished Africanist award, a past President of the ASA, the former editor of several prominent African Studies journals, and grounded in the discipline of Political Science, Edmond Keller is one of the country’s leading scholars of Africa.
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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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.016 | 0.027 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.031 | 0.012 |
| Scholarly communication | 0.018 | 0.012 |
| Open science | 0.001 | 0.010 |
| Research integrity | 0.006 | 0.014 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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.
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.
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".