Educational Attainment, Country of Residence and Marital Status as Predictors of Women Spiritual Help-Seeking Behavior
Bibliographic record
Abstract
Literature has consistently revealed across different countries of the world that large proportions of those who attend spiritual houses are women and they attend to seek help on diverse issues. However, it is not known if one’s country of residence, educational attainment and marital status will predict women spiritual help-seeking behavior. The objective of this study was to find out how the variables as indicated above would predict spiritual help-seeking behavior of women in Nigeria, Iran and Cameroon. Using an ex post facto design and multistage sampling, 314 participants that participated in the study were drawn from Nigeria, Iran and Cameroon. Validated scale was used to collect data and the hypothesis tested was accepted. Thus, country of residence and marital status significantly predicted spiritual help-seeking behavior of women, whereas educational attainment was not a significant predictor. Deriving from above, professionals should begin to focus on the development of cross-cultural spiritual therapeutic measures that will address African women’s specific problems as well as considering the level of educational attainment of help-seekers in addressing their problem. A limitation of the study however is the small sample size, which may be addressed in further researches.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".