Social Change and Personality Development in a Nigerian Sample
Bibliographic record
Abstract
This study explored the relationship of social change and personality development in a sample of Nigerianstudents. Social change was taken to mean people’s perceptions of the trends of social events while personalitydevelopment was the manifestations of the Big Five Personality traits which are extraversion, agreeableness,conscientiousness, neuroticism and openness to experience. It was hypothesized that personality traits will notsignificantly be a predictor of social trends. Social change was measured using the index of social trendsdeveloped by the researchers while personality development was measured using the Big Five Inventory. Resultsof the multiple regression analysis showed that social change or trends was predicted by the personality traits ofextraversion, agreeableness, conscientiousness and openness to experience but social trend was not predicted byneuroticism. Within the framework of social cognitive theory and social Darwinism, the relevance of thefindings to human development and social policy formulation were highlighted.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".