Information Technology and Transcription of Reading Materials for the Visually Impaired Persons in Nigeria
Bibliographic record
Abstract
Studies have shown inadequate reading materials for the visually impaired in Nigeria. Information technology has greatly advanced the provision of information to the visually impaired in other industrialized climes. This study investigated the extent of application of information technology to the transcription of reading materials for the visually impaired in Nigeria. The study adopted survey research design of the ex-post facto to select 470 personnel as respondents. A questionnaire titled Information Technology Use Scale (α=0.74), and Interview Schedule (α=0.75), were used. Data were analyzed using descriptive statistics and Pearson Product Moment Correlation. The findings indicate that information technology in transcription was low and a significant positive relationship between application of information technology and transcription of information materials (r=0.62: p<0.05). The study recommended among others that Multi-National Corporations should be sensitized to extend their Corporate Social Responsibility (CSR) activities to help in procuring modern information technology devices and software to enhance transcription.
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.
How this classification was reachedexpand
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 | 0.001 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".