Courses Studied by New York Librarianship Students Affect Their Perceived Readiness for Employment
Bibliographic record
Abstract
Objective – To investigate whether librarianship students felt ready to enter the workforce, and whether practitioners felt recent graduates were suitably prepared. Design – Survey. Setting – A university in New York City, and school and public librarians working in the New York metropolitan area. Subjects – 55 MLS students, 167 school library practitioners, and 181 public library practitioners. Methods – Students surveyed practitioners about new graduates’ readiness to work as librarians. The students also assessed their own readiness. Main Results – Detailed analysis of differences between the responses of the four subject groups – public librarians, school librarians, public library students, and school library students – for each of six survey statements is provided. Practitioners and students felt that school librarianship graduates were more prepared for work than public librarianship graduates. This may have been due to differences in the practical components of their courses. Conclusion – Preparedness for library employment is related to the courses studied by librarianship 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 | 0.001 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.019 | 0.002 |
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".