Preparing Namibian Student Teachers to Teach Literacy in Mother Tongue
Bibliographic record
Abstract
Scholars of language teaching agree that the development of initial literacy is best achieved when taught in the mother tongue. Namibia’s language policy for schools prescribes teaching using mother tongue or the predominant local language as a medium of instruction during the first three years of schooling. This study reports on a study of how Namibian lecturers prepare student teachers to teach literacy in mother tongue (Oshikwanyama and Oshindonga) dialects of Oshiwambo language. Data were collected through classroom observations, semi-structured interviews and document analysis. Content analysis was used to analyse the data. The main findings are that most of the lecturers were proficient in the languages in question and they fluently explained the literacy content in Oshikwanyama and Oshindonga. However, the preparation was constrained by a lack of prescribed books in the African languages. The study aims at filling a gap in the literature on how Namibian student teachers are prepared to teach literacy in mother tongue grounded within a sociocultural perspective.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".