Leading in an Amish Paradise: humanistic leadership in the Old Order Amish
Bibliographic record
Abstract
Purpose The authors examined the traditional leadership practiced by the Old Order Amish located in the Holmes and Wayne counties of America. Despite popular stereotypes, this community is remarkably innovative and resilient. Amish leadership aligns with the central tenets of humanistic leadership and provides a rich illustration of how such a leadership paradigm can foster a vibrant, inclusive and sustainable community. Unlike current leadership models that focus on instrumental values like wealth, profit and growth, Amish leadership is concerned with faith, community and living a simple life with purpose and dignity. Design/methodology/approach The primary data required for this paper were collected by the lead author during a six-month ethnographic study on several Amish communities located in Ohio. The authors also consulted a large set of archival data, including think tank reports, census data, biographies, magazine features and academic publications, which helped in placing the primary data in perspective and reminding of the particularities of the contexts from which the primary data were collected. For the data analysis, the authors used a thematic analysis approach to allow the salient themes of Amish humanistic leadership emerge from the data. Findings A total offour themes emerged from this study: (1) leadership as local identity and practice; (2) leaders without benefits, chosen by the lot; (3) leaders present matters, followers discuss and decide; (4) community welfare as the yardstick for evaluation. These themes highlighted some of the key aspects of humanistic leadership eclipsed in the mainstream theories of management and leadership. They showed how the Amish respond to the encroachment of technology, which holds critical clues for how humanistic leaders can place the needs of their people before the demands of their shareholders. By examining Amish leadership in detail, this study demonstrated the potential of humanistic leadership for creating a strong and sustainable community while also contributing to the empirical foundation of humanistic management. Originality/value Given the closed nature of the Amish, only few academic studies exist, which examined their leadership style. Furthermore, the traditional and conservative nature of the Amish community has prevented critics from investigating their leadership as a model for revitalizing other communities.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.012 | 0.009 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| 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".