Bibliographic record
Abstract
Supervision--the shaping of spiritual leaders--occurs formally and informally in many aspects of congregational life. Every year, thousands of pastors supervise field education students and interns; staff members and lay leaders often supervise committee members or other staff; clergy and lay leaders supervise each other as a way to offer support and establish accountability. While supervision enhances the work of all concerned, it is rarely explicitly addressed in congregations. For over fifteen years, Abigail Johnson has supervised and trained others to supervise candidates for ordination within the United Church of Canada. Recognizing that supervision is as important in the formation of lay leaders as in the life of candidates for ordination, she has developed this book to guide all who supervise others in a congregation. Johnson views supervision as a ministry and shows how leaders can use their own innate gifts to enhance their supervision skills. By shaping the supervision relationship based on the gifts of the people involved as well as the context in which the relationship occurs, supervision can become an opportunity for mutual growth and learning that strengthens all other areas of ministry. This book provides a hands-on approach to supervision, addressing key areas such as identifying a learning focus, covenanting, managing conflict, understanding and using power and authority, offering and receiving feedback and evaluation, and celebrating and ending the supervisory relationship. Supervisors who pay attention to these and other key areas will help those they supervise develop their gifts for ministry in all forms.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.019 | 0.003 |
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".