The State of Swahili Studies: Remembering the Past, Present, and Future
Bibliographic record
Abstract
It would be erroneous to conclude that Irish novelist Joyce Cary’s dismissal of Swahili language for supposedly having a narrow epistemic range in 1944 typifies attitudes toward the language. Indeed there were, have been, and will always be diverse attitudes and approaches within Swahili Studies. In tracing the path Swahili Studies as a field of enquiry has trodden over the years, this paper demonstrates these divergent views and opinions, and speculates about the future and its concomitant possibilities and challenges. In short, Swahili studies may be said to have traveled through three main historical and discursive phases, namely; 1) the colonial phase; 2) the nationalist phase; and 3) the post nationalist phase. However, it bears clarifying that categorizing Swahili studies into phases does not occlude or ignore the propensity for overlap between these phases. This paper will trace by way of example and in broad terms some of the key questions asked in the past and present and their implications for the future of Swahili Studies.
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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 | 0.010 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.011 | 0.044 |
| Scholarly communication | 0.015 | 0.015 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.003 | 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.
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".