Gender and City Differences in Personality Traits among Adolescents in Some Selected Cities of Nigeria
Bibliographic record
Abstract
There are overwhelming evidences from researches in the regional science that the attitudes, values and behaviours of people are geographically clustered. Psychologists, however, have historically had little to say about regional and city differences (Rentfrow, 2010). The present study investigated on gender and city differences in trait personalities among adolescents in some selected cities within Nigeria. A thousand and one (1001) adolescents (532 females, 469 males) sampled from five cities (Markurdi, Calabar, Nnewi, Victoria Island, Benin) within Nigeria were employed for the study. Big Five Personality Inventory by John, Donahue and Kentle (1991) was used to gather their data on personality traits while Multivariate Analysis of Covariance (MANCOVA) and Pearson Product Moment correlation were used in data analysis. The findings of the study showed significant city difference on the personality traits examined and significant gender differences on neuroticism personality. Similarly significant interaction effects of city and gender were also seen. Furthermore there were positive and negative correlations of age and personality among adolescents studied. Discussions of the findings were done as well as the implications of the findings for social behaviours.
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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 | 0.000 | 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 | 0.001 |
| 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".