The dawn of the Somali written word: an analysis of the creation and implementation of the Somali written language
Bibliographic record
Abstract
My major research paper (MRP) is grounded in the history of Somalia’s first orthography implemented in 1972 by President Mohamed Siad Barre. This meant that for the first time Somali history, there would be a written language that mirrored the Somali oral tradition in all its complexity. The nation’s longstanding cultural tradition of oral poetry has both impacted, and been impacted by the implementation of the orthography. Through the use of semi-structured interviews and grounded theory as my method of analysis, the purpose of this MRP is to explore this reciprocal impact between Somalia’s oral tradition and the implementation of the orthography, and also to explore how Somali poetry provides a unique lens into this reciprocal impact. After stating the data, I present the findings in two stages: (a) in the form of short stories that provide insight into the topic from the perceptions and perspectives of each interviewee, and (b) as overarching themes that have emerged from the interviewees collectively. The findings reveal that the colonial period in Somalia gave rise to the necessity of an orthography for the oral Somali language which then introduced a level of cultural anxiety as the oral tradition of knowledge preservation eventually weakened. Nonetheless, although the Somali orthography is now seen first and foremost as a means of knowledge preservation, the Somali culture still demonstrates a deep connection to their oral heritage.
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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 | 0.005 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.009 | 0.012 |
| Scholarly communication | 0.009 | 0.005 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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".