Mental Illness and Discourse: The Need for More Education Among Clergy regarding How to Manage Mental Health Needs in their Congregation.: The need for more education amongst clergies who manage mental illness in congregants.
Bibliographic record
Abstract
Abstract Although the church is no longer the frontline of power and decision making in society, statistics show that most people lean on their religious leaders for assistance during a mental illness crisis. PURPOSE: The purposes of this study are: 1) To add to what is known about mental illness and religion; 2) To explore the current beliefs on mental illness upheld in Christian settings, and 3) To determine the need for education among pastoral staff on how to deal and manage mental illness. METHOD: Semi- structured interviews were used to obtain information from pastoral staff. FINDINGS: Although the church is progressing in their understanding of the causes of mental illness, still, pastors are unequipped to deal with mental health crisis. There is need for further education among pastoral staff on how to deal with mental illness as they are unequipped. There is a need for a bridge between religion and psychiatry as bodies of knowledge. Yet again, there is a need for secular-religious collaboration to ensure holistic care for individuals during a mental illness crisis.
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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 | 0.009 | 0.016 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.011 | 0.009 |
| Scholarly communication | 0.005 | 0.005 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.004 | 0.006 |
| Insufficient payload (model declined to judge) | 0.009 | 0.001 |
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".