The Information Environment of Teachers of Science Subjects in Public Secondary Schools in Offa Metropolis, Nigeria
Bibliographic record
Abstract
Bearing in mind the strategic position of science in the development of society and arising from the need for an investigation into the information environment of Teachers of Science Subjects (TSS) in Offa, the study was carried out to determine their information needs, seeking behavior, sources, perceptions on the state of their school libraries and challenges of accessing information. It adopted survey research method with questionnaire as the tool for data collection, which was administered on all TSS in the affected schools, collected and analysed with descriptive statistics. It was discovered that the information needs of the TSS are mostly on their subject areas and contemporary methods of teaching, developments and inventions in science and technology, medical and health information, information on educational issues and furthers studies as well as on things happening around the world. The online environment - Internet shapes their information seeking behavior and was main avenue through which they access information. Their perception on the poor state of libraries in their schools is an issue of concern, as it acts as a challenge to their access to information. Recommendations were put forward on ways to remedy the situation.
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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 | 0.001 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 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".