Meaningfulness as a Resource to Mitigate Work Stress
Bibliographic record
Abstract
Over the past decade, scholars have returned to existential philosophical roots to understand how meaningfulness in life might affect stressor-strain relationships. As with depression, people who lack meaningfulness in life are more prone to substance abuse, think about committing suicide, feel less in control of their lives, and feel disengaged, depressed, disconnected, alienated, burned out, and lower general mental well-being. This chapter first defines stress and meaningfulness. It then reviews motivational theories (self-determination theory, values theory, conservation of resources (COR) theory, and terror management theory (TMT)) and individual difference constructs (sense of coherence (SOC)) that support the contention that meaningfulness plays an important role in mitigating stress. The chapter also discusses cultural implications of meaningfulness in life on the relationships between stressors and strains, as well as the role of the workplace in providing resources and opportunities for individuals to pursue goals in an effort to create meaningfulness.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.000 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 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".