The Salvation Army corps officer: A territorial survey of vocational preparation, role, efficacy, and ministry satisfaction
Bibliographic record
Abstract
Officers of the Salvation Army (SA or Army) are Protestant clergy, ordained ministers of the Salvation Army denomination who function in a broad range of leadership roles. Operations of the SA are supervised by trained, commissioned officers. Officers proclaim the gospel and serve as pastors, administrators, teachers, social workers, counselors, youth leaders, and musicians. SA corps officership is a ministry call to care for the lost, marginalized, exploited, and neglected in society. Congregants and the larger community might have divergent expectations and define ministry effectiveness differently. Like other evangelical clergy, the SA officer is called to be biblically faithful and culturally relevant. This study focused specific attention on SA corps officers in the USA Eastern Territory. This quantitative study examined corps officers' perceptions of training and preparation, support by supervising officers, ministry roles, and leadership styles relative to corps officer satisfaction, efficacy, aspirations, and longevity. More than half (420) of the 728 SA corps officers in the USA Eastern Territory completed the SAVED survey instrument. Results indicate corps officers' perceptions of administrative support, administrative competency, and adequate training, and preparation all correlate significantly with satisfaction and efficacy. Based on these findings, the greatest predictor of corps officers' satisfaction and sense of efficacy is the corps officers' perception of administrative support from the divisional leadership.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.005 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 0.002 |
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".