Provision of Security Facilities and Security Personnel Service Delivery in Universities in Cross River State, Nigeria
Why this work is in the frame
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Bibliographic record
Abstract
The study examined provision of security facilities and security personnel service delivery in Universities in Cross River State, Nigeria. Three research questions and one hypothesis guided the study. The ex-post facto design was adopted for the study. The population of the study comprised 440 security personnel while the sample size was 400 security personnel. Two researchers developed and validated instruments entitled “Provision of Facilities Questionnaire (POFQ) and Security Personnel Service Delivery Questionnaire (SPSDQ) were used for data collection. The reliability estimates of the instrument were determined using Cronbach Alpha Analysis and the coefficients of 0.80 and 0.83 were obtained. Descriptive statistics was used to answer the research questions while Pearson Product Moment Correlation was used to test the hypothesis at 0.05 level of significance. The finding of the study showed that there exist a disparity in the provision of security facilities in the institutions with the minimum provision of 11.10 and maximum of 26.00 facilities by State and Federal Universities respectively. The level of provision of security facilities in the two institutions studies indicated two levels of inadequate and moderate with a grand mean of 2.5135 and standard deviation of .92773. The level of security service delivery in the Universities in Cross River State depend on the level of availability of security facilities for use by security personnel is evident that there are three levels of security service delivery in Universities. The finding of the study also revealed that there is a significant relationship between provision of security facilities and security personnel service delivery. Based on the findings, it was recommended that the administrators should provide adequate security facilities such as hand guns, CCTV, tear gas, bullet proof vests and so on for effective security personnel service delivery.
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.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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 it