Climate Change Effects and Academic Staff Role Performance in Universities in Cross River State, Nigeria
Bibliographic record
Abstract
Climate change is a scourge that is attracting wide-spreadapprehension in the world today. Its harsh effect is felton how people, plants and animals live. This surveydesigned study is geared towards assessing the climatechange effects on academic staff role performance inuniversities in Cross River State, Nigeria. Two hypotheseswere isolated to direct this investigation. 300 academicstaff from the two universities (150 each) constitutedthe sample drawn from academic staff population of1,137. Data for analysis were generated using ClimateChange Effects Questionnaire (CCEQ) and AcademicStaff Role Performance Survey (ASRPS). Populationt-test and Pearson Product Moment Correlation (r)statistical techniques were used for data analysis. Resultsdisclosed that climate change effects on academic staffrole performance in universities in Cross River Stateare significantly high. There is significant relationshipbetween climate change effects and academic staff roleperformance. It was concluded that virtually all theaspects of academic staff role performance are affected byclimate change effects. On the strength of these findings,recommendations were made. Key words: Academic staff; Climate change effects;Role performance; Universities
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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 | 0.000 |
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.002 |
| 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".