The Impact of Public Access Venue Information and Communication Technologies in Botswana Public Libraries
Bibliographic record
Abstract
Abstract Objective – A study on the impact of Public Access Venue (PAV) Information and Communication Technologies (ICTs) was conducted in Botswana libraries with Internet connections. The main objective was to determine the impact of ICTs in public libraries. Methods –Using the Sustainable Livelihoods Framework as a theoretical lens, the study used semi-structured interviews and focus group discussions to investigate the impact of PAV ICTs in 4 study sites, resulting in data from a total of 39 interviews and 4 focus groups. Methods –Using the Sustainable Livelihoods Framework as a theoretical lens, the study used semi-structured interviews and focus group discussions to investigate the impact of PAV ICTs in 4 study sites, resulting in data from a total of 39 interviews and 4 focus groups. Results – The results of the study show that PAV ICTs had a positive impact on users in the areas of education and economic benefits. Within educational and economic impacts, social benefits were also found, pertaining to the use of social media and the Internet for formal and informal communication. The study also revealed a slight difference between school going users and non-school going elderly users where the use and acquisition of computer skills was concerned. Elderly non-school going users tended to rely on venue staff for skills more than the younger school going users. Conclusion – The study recommends that PAV facilities should be improved in terms of skills offered and resources availed so as to appeal to both the younger school going generation and the older non-school going users. It is also recommended that education on ICT be improved to help curb rising unemployment in Botswana; such skills would enhance the income generation skills of the unemployed users as well as school leavers.
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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 | 0.001 | 0.003 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.009 | 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".