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Knowledge, Attitude and Participation of Male and Female Nurses in Recreational Activities in Cross River State, Nigeria

2012· article· en· W1625955079 on OpenAlexvenueno aff
V.C. Emeribe, Levi Udochukwu Akah

Bibliographic record

VenueCanadian social science · 2012
Typearticle
Languageen
FieldPsychology
TopicHealth and Well-being Studies
Canadian institutionsnot available
Fundersnot available
KeywordsRecreationPsychologyTest (biology)State (computer science)NursingFamily medicineSocial psychologyMedicinePolitical scienceLaw

Abstract

fetched live from OpenAlex

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

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.118
Threshold uncertainty score0.982

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.040
GPT teacher head0.402
Teacher spread0.362 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations3
Published2012
Admission routes1
Has abstractyes

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