Bibliographic record
Abstract
Research on children's reading habits, preferences, and use of information provides useful insights for those working to motivate children and young people to read and use information. This study, conducted by the Children's Literature Research Unit (CLRU) in the Department of Information Science at the University of South Africa (Unisa), Pretoria, was modeled on a study of children's reading habits in England conducted by the Roehampton Institute in the 1990s. Findings reported in this article are related to the reading of informational material by children between the ages of 9 and 16 in South Africa. Although many learners in South Africa have limited access to school libraries or public libraries, the study participants had a positive attitude to reading and nonfiction texts. They were developing strategies to deal with information texts by using retrieval tools, and they were prepared to persevere with books even if they did not understand some words. The study shoiued that children's reading interests in South Africa are not radically different from those of children in England. However, because many young people in South Africa read in a second language, information books need to be written with this in mind.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".