Deconstructing Social Unrest as a Response to Redefine Strained Relationships between Students and University Authorities
Bibliographic record
Abstract
University system in Nigeria has been characterised by persistent social unrest majorly traceable to strained relationships between students and university authorities. Observations, experiences and literature confirmed that student unrest in the universities had become a compulsory devil affecting the speedy actualisation of university goals and objectives. The need to dismantle the social space for relative peace and tranquillity thereof become expedient. The study aims to redefine students-university authority relationships as a tool to deconstruct social unrest in Nigeria universities. Human Relations Theory of Management (HRTM) was used to theorise the study. Transformative paradigm as a stance to emancipate the existing unrest situation was used to lens the study. Participatory Action Research (PAR) was adopted as a research design for the study. The sample size for this study consists of 10 participants, namely, three students' leaders; one past student leaders, three university management members, two lecturers and two security personnel selected using expert sampling techniques. The Focused Group Discussion (FGD) was used to collect data from the participants, and the data collected were analysed using Socio-thematic Analysis. The study revealed that inadequate funding was a significant challenge resulting in student unrest. In contrast, the provision of Students' Personnel Services coupled with modern maintenance culture, transparency and accountability were found to be the dimension of peaceful university operation devoid of social unrest and therefore becomes a tool to deconstruct the strained relationship between students and university authorities.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| 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".