Re-Engineering Values Education in Nigerian Schools as Catalyst for National Development
Bibliographic record
Abstract
The decay in the Nigerian society has affected the standard of values and moral character formation. This has manifested in so many anti-social vices. Anti-social behaviour exhibited include corruption, dishonesty, greed, violent crimes, lack of accountability, indiscipline, disrespect to constituted authorities, laziness, low moral courage among many others. All these have constituted a serious moral problem for the Nigerian State and have constrained all sincere efforts targeted at achieving national development. This paper having reviewed the weak values system in Nigeria strongly recommend the re-reengineering of values education in Nigeria schools as catalyst for national development. It is the view of the authors that the pursuit of national development is first attitudinal and so the citizenry should be given new orientation that goes to ensure the overhauling and reconstruction of the total values system in the society for obvious national development to be guaranteed. The authors advocated as a matter of necessity the development and introduction of a national policy on values education as a references instrument which will be used as a realistic paradigm for behavioral transformation and ethical reorientation. This is one sure way of attaining national development
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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 | 0.006 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.005 |
| Scholarly communication | 0.008 | 0.003 |
| Open science | 0.000 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".