Roles of Fear of Happiness and Fragility of Happiness in Nigerian Military Personnel Workload
Bibliographic record
Abstract
In the light of conflicts and Boko Haram insurgency facing Nigeria as a county and the involvement of the military in the fight against terrorists, the study of workload and happiness need to be researched more to gain greater acceptance and become one of the global indices on which nations’ military are measured and ranked. Our study anchors on multiple resource and information processing theory to assess the roles of fear and fragility of happiness in workload among Nigerian military personnel. Two hundred and twenty (220) Nigerian soldiers, drawn from Nigerian Army and Nigerian Air Force participated in this study. Three instruments , namely, Workload Scale, Fear of Happiness Scale and Fragility of Happiness Scale, were used to collect data from the participants. Results of hierarchical multiple regression analysis indicated that fear of happiness was not significantly associated with work load. Fragility of happiness positively predicted work load, indicating that military personnel who had greater fragility of happiness reported greater workload. It was concluded that workplace interventions and programs to curtail fragility of happiness would be helpful in reducing the perceptions of excess workload among Nigerian military personnel.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".