Framing & Reframing Kinshasa: Baudouin Bikoko’s Expanded Photographic Practice
Bibliographic record
Abstract
A seminal figure in the Democratic Republic of Congo (DRC), Baudouin Bikoko remains relatively little-known outside of his home country. This presentation introduced Bikoko and his work to an African and international English-speaking audience and critically engaged with the various strands of his practice, through a presentation by Bikoko himself and by Warren Crichlow, Elisa Adami and Adeena Mey. \n \n \n \nBaudouin Bikoko is considered the guardian of Congolese photographic heritage. A photographer, writer, archivist and lecturer, he founded the Maison de la Photographie en Devenir. \n \nElisa Adami is Research Fellow and Editor at Afterall Research Centre, Central Saint Martins, University of the Arts, London. \n \nWarren Crichlow is Professor Emeritus at York University Toronto. He has published and taught widely about cultural studies, education, moving-images and global photographic archives. \n \nAdeena Mey is Managing Editor of Afterall Journal and a Research Fellow at the Afterall Research Centre, Central St Martins, University of the Arts London.
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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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.023 | 0.012 |
| Scholarly communication | 0.007 | 0.005 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.002 | 0.003 |
| 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".