Librarian’s roles on students who are hurt: A comparative study of two countries
Bibliographic record
Abstract
Librarians are re-discovering themselves in many functions that connects them to library users by playing critical roles in supporting the users. Investigating how librarians will help their users is now significant to school library services. This is a comparative study carried out in Nigeria and Indonesia to find out roles of librarians towards helping hurting library users. The study investigates if librarians are aware of issues that makes their users hurts emotionally and if there are specific activities that are created in the libraries to enhance users’ well-being. The librarians in these two countries were asked if they use readers’ advisory to recommend literature that could help users that are hurting. This study also examines wether librarians in these countries understands the concept of bibliotherapy. Every librarian has the potential to help hurting library users once they recognise the efficacy of using the appropriate book to help. The 21st century library professionals need to learn more about their potentials to help and comfort users in the library space.
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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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.005 | 0.002 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 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".