History of Research on African Factory-Printed Clothand Current Approaches in the Field
Bibliographic record
Abstract
This paper examines the significance of factory-printed cloth in Africa and its potential to communicate various messages through its use as clothing. Factory-printed cloth also has unintended communicative value when it is displayed outside Africa in museum contexts. I will introduce the topic with a brief history of research carried out on African factory-printed cloth and its appearance in museum and gallery exhibitions. This has led to contemporary forms of art historical and anthropological research. Some of the latter, including my own, has involved field collecting of commemorative cloths in West Africa. My research resulted in a museum exhibition of factory-printed cloth at the University of British Columbia’s Museum of Anthropology in 2004. The Textile Museum of Canada also exhibited factory-printed cloth in 2004. Factory-printed cloth made a relatively late appearance in the literature and exhibit history of African cloth. One reason for this could be that the cloth was not considered ‘African’, as its production combines African design with European technology. The introduction of factory-printed cloth to Africa provided a new way in which to communicate messages through cloth, as faces of important people and text could be printed directly onto cloth. This technique has proved useful in commemorating special people or events in Africa. My research reveals how factory-printed cloth can provide insights into a post-colonial country’s political, economic and cultural environments, whether the cloth is worn as clothing in Africa or displayed in museums abroad.
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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 | 0.004 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.006 | 0.011 |
| Science and technology studies | 0.010 | 0.021 |
| Scholarly communication | 0.008 | 0.010 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.017 | 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".