Information Needs and Library Services Delivery for Students with Visual Impairment in Oyo State, Nigeria
Bibliographic record
Abstract
This study investigated the information needs and library service delivery to students with visual impairment in Oyo State, Nigeria with a focus on assessing the influence of library 1 services; information needs; media formats availability and accessibility on library use among students with visual impairment in Oyo State, Nigeria. The study established educational information, health information and information on coping with their visual impairment as major information needs of the visually impaired students while circulation service, reference service and screen reading service on computers are found to be the only library services provided for them. Print Books/Magazines, Braille Books and Braille-in-Print were found to be prominent among the few media-formats available for the students while the dearth of media-formats was found to be inadequate in meeting the information needs of students with visual impairment in Oyo State. Lack of ease of accessing the library resources, facilities as well as library staff whenever they need help, poor policy on borrowing privileges, lack of path sounders to guide their movement around the library among others were major accessibility issues confronting the students in enjoying quality library services. The study recommended the need to address the provision of basic facilities that are critical to effective library service delivery to the visually impaired students.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".