Knowledge, Attitude and Participation of Male and Female Nurses in Recreational Activities in Cross River State, Nigeria
Bibliographic record
Abstract
Purpose: This paper investigated the knowledge, attitude and participation of Cross River State male and female nurse in recreational actives. Method and materials: The survey was adopted with a sample of 320 nurses. Questionnaire that comprised 15-item was administered. On arrival at the hospitals, permission was received from the authorities. The researchers adopted on eh sport administration of items. Independent t-test was used in analyzing the data with 0.05 level of significance. Results: The result indicated that the calculated t-values of knowledge, (11.19), attitude (11.88) and participation (7.04), were greater than the critical t-value 1.96, 1.96 and 1.96 respectively. It means that there was significance difference in knowledge, attitude and participation of Cross River State Nurses in recreational activities. Conclusion: Most nurses participate in exercise when they perceive their health to be threatened even though they are awarded that recreation improve their health and fitness. Key words : Knowledge; Attitude; Participation; Nurses; Recreation
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".