Spiritual values and work-related wellbeing of Indian pharmaceutical scientists
Bibliographic record
Abstract
The current research article aims to investigate spiritual values a predictor of the work-related well-being of pharmaceutical scientists in Indian Pharmaceutical companies. For the same, 150 scientists working in different pharmaceutical companies in India were asked to respond to questionnaires viz., the Spiritual Values Scale (SVS) - Husain, Zehra and Jahan (2013), and Index of Psychological Well-being at Work (IPWBW) - Sandilya and Shahnawaz (2018). The findings suggest spiritual values and its dimensions (values fostering high quality work, intrinsic qualities and natural qualities) as significant predictors of the work-related well-being as well as its facets (interpersonal fit at work, thriving at work, feeling of competency at work, perceived recognition at work and desire for involvement at work) of pharmacy scientists. It was found that spiritual values and its dimensions had significant predictive influence on work-related well-being.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".