Religion as a Workplace Issue: A Narrative Inquiry of Two People—One Muslim and the Other Christian
Bibliographic record
Abstract
This study explores the work perspective of two individuals who self-identify as religious and are employed in non-religious work responsibilities. Drawing on the perceptions and experiences of a Muslim and a Christian, this narrative study examines how religion affects intentions, perceptions, and work behavior. The procedure for implementing small-scale personalized narrative research consists of studying individuals through the collection of their lived stories. Using two interviews with a series of open-ended questions, two male participants disclose how their religion intersects with their working lives. With a focus on diversity and inclusion in the workplace, this study distinguishes religion as an important workplace issue. The narratives demonstrate how two people of faith negotiate their beliefs alongside their work life. With an expectation that employers understand and accommodate the religious identities and beliefs of their employees and perhaps even profit from those beliefs, the implications of this study are important for perceiving how religion and work can integrate productively.
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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 | 0.007 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.018 | 0.014 |
| Scholarly communication | 0.007 | 0.008 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.003 | 0.007 |
| 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".