Prevalent Crime in Nigerian Tertiary Institutions and Administrative
Bibliographic record
Abstract
This study examined crime in tertiary institutions in southern Nigeria. The purpose of the study was to identify the common crime prevalent in the institution, the administrative strategies for managing crime and find out the extent to which institution managers or Administrators are employing the identified strategies to ensure a crime free environment. Three research questions were asked and answered. The sample of the study was drawn from a population of tertiary institutions in Southern Nigeria A sample of 1020 respondents were selected through stratified random sampling technique from nine tertiary institutions in South-West Nigeria. The questionnaire was the instrument for collection of data from the respondents. It is divided into three sub-scales. Cronbach Alpha for the three sub scales yielded 0.84, 0.80 and 0.76. The finding revealed the common crime prevalent in tertiary institution in South-West Nigeria as examination malpractices, assault, plagiarism, sexual harassment, and certificate forgery. The findings further showed that crime management strategies like mounting closed circuit camera in strategic locations, regular monitoring of activities, use of anti-cult group are some of the identified crime management strategies. The extent of employment of the identified strategies in crime management is low.
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 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 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".