Core Work Values of Librarians & their Intent to Leave
Bibliographic record
Abstract
The intention of this study was to determine if there is significant relationship between core work values of librarian and their intent to leave. Through non-experimental quantitative research design utilizing descriptive-correlational technique, mean, Pearson r, Regression analysis, and universal sampling technique with one hundred librarians as respondents. The researcher used the core work values questionnaire and intent to leave questionnaire. The study revealed a very high level of core work values of librarians in terms of work to serve the public, work towards common goals, work to the best of abilities, and valuing and respecting each other. The level of intent to leave of the librarians is moderate in terms of perceived alternative employment opportunities, job hopping, and turnover intention. No overall significant relationship was observed between the core work values of librarians and their intent to leave but there were significant relationships in some of their respective indicators. It was noted that among the indicators of core work values, work towards common goals best predicts intent to leave.
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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 | 0.004 | 0.020 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".