Literacy at a distance in multilingual contexts: Issues and challenges
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
<p>Literacy is perhaps the most fundamental skill required for effective participation in education (formal and non-formal) for national development. At the same time, the choice of language for literacy is a complex issue in multilingual societies like Nigeria. This paper examines the issues involved, namely language policy, language and teacher development, and the role of distance education and information and communication technologies (ICTs), in making literacy accessible in as many languages as possible. Two distance learning literacy projects are presented as case studies and the lessons learned are discussed. The findings of this study suggest that although there is evidence of growing accessibility to ICTs like mobile phones, their use and success to increase access to literacy in the users’ languages are yet to be attained and maximised. The implication of the lessons learned should be relevant to other multilingual nations that seek the goal of increasing access to learning and promoting development so as to harvest economic benefits.</p>
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it