Spiritual Connections and Complexities in Rural Communities: A Case Study of Annang Farmers in Akwa Ibom State, Nigeria
Bibliographic record
Abstract
The study examined spiritual and religious connections and complexities in rural communities using the indigenous Annang people of Akwa Ibom state as a case study.The research made use of primary data from 150 randomly selected respondents and 8 purposively selected key informants, using questionnaires and interview schedules.Data analysis was both descriptive and inferential.Findings indicate that 94% of the respondents were aged between 21 and 60years, 94% had some form of formal schooling, all respondents were Christians, 61.3% being married and 92% earned a maximum of NGN50, 000 monthly.52% of respondents had farming as their primary occupation.Respondents were highly inclined to spirituality with 98.7% of respondents attending religious functions at least once a week and a further 62.7% relying on fate, miracles and protection from charms and amulets.The multiple regression results showed that there was no significant relationship between selected sociological factors and respondent's inclination to spirituality, while the T-test analysis showed that there was no difference in the inclination to spirituality between men and women.The study recommends that formal education with focus on the enlightenment, re-orientation, and counselling of individuals be effectively initiated to reduce the levels of inclination to spirituality.This will ensure that local level decision making is objective and based on facts.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.010 | 0.003 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| 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".