Issues and Themesin Traditional Festivals as Agents of Social Mobilization
Bibliographic record
Abstract
This study explains the role of traditional festivals as social mobilization agents, encouraging moral rebirth, social mobilization, development communication and change for the better in the attitude of the people towards contributing to the development of the society. The paper adopts Behavior theory and Attitude change theory as theoretical framework. The two theories emphasize the importance of value change, which can lead to the development of the community. The paper recognizes the challenges facing traditional festivals in meeting up with its roles of social mobilization. Egungun festival in South West Nigeria is prone to hijack by the political elites who use them to cause havoc in the society. Some masquerades have turned themselves into political thugs carrying dangerous weapons to victimize members of the society. The study therefore recommends total overhauling of the entire traditional African festivals so as to meet the desired goal it intends to achieve where miscreants and hoodlums will not play prominent roles during the festival. Involvement of corporate organizations in financing traditional festivals could bring some sanity and attraction into it, thereby turning it into cultural and tourist attraction.
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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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.011 |
| Scholarly communication | 0.008 | 0.004 |
| Open science | 0.001 | 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".