Value-Based Leadership in Organizations: Balancing Values, Interests, and Power Among Citizens, Workers, and Leaders
Bibliographic record
Abstract
The purpose of this article is to introduce a model of value-based leadership. The model is based on tensions among values, interests, and power (VIP); and tensions that take place within and among citizens, workers, and leaders (CWL). The VIP-CWL model describes the forces at play in the promotion of value-based practice and formulates recommendations for value-based leadership. The ability to enact certain values is conditioned by power and personal interests of communities, workers, and leaders of organizations. People experience internal conflicts related to VIP as well as external conflicts related to disagreements with the CWL. Value-based practice is predicated on the ability to alleviate these tensions. Leaders have 4 main roles in promoting value-based practice: (a) clarify values, (b) promote personal harmony among VIP, (c) enhance congruence of VIP among CWL, and (d) confront people and groups subverting values or abusing power to promote personal interests.
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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 | 0.006 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.006 | 0.022 |
| Scholarly communication | 0.013 | 0.007 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 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".