Bibliographic record
Abstract
Abstract True and effective leadership is that in which the leader's behaviour and the exercise of the leadership influence process are consistent with ethical and moral values. This paper explores the need for ethical leadership and the ways in which it is manifested in organizations. It identifies the three components of the ethical leadership model proposed by Kanungo and Mendonca (1996): the ethics of the leader's motives, influence process strategies, and the nature of the self‐transformation needed for ethical leadership. As a central theme, the paper then examines what the leader can do to prepare for ethical leadership in organizations. More specifically, it identifies some of the sources that the leader can tap to develop as a moral person possessed of inner strength and resourcefulness that lead to the self‐transformation of both the leader and the followers. Résumé Le leadership véritable et efficace en est un dans lequel le comportement du leader et l'exercice du processus d'influence de leadership sont consistants avec des valeurs morales et éthiques. Cette étude explore le besoin d'un leadership éthique et les façons dont il est manifesté dans les organisations. Elle identifie les trois composantes du modèle de leadership éthique proposé par Kanungo et Mendonca (1996): l'éthique des motifs du leader, les stratégies du processus d'influence et la nature de la transformation de soi‐même requises pour le leadership éthique. Comme thème central, l'étude examine ce que le leader peutfaire pour se préparer au leadership éthique dans les organisations. Spécifiquement, elle identifie quelques‐unes des sources auxquelles le leader peut avoir accès pour se développer en tant que personne morale possédant une force intérieure et qui est pleine de ressources qui mènent à la transformation personnelle du leader et de ses adeptes.
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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 | 0.007 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.005 | 0.005 |
| Scholarly communication | 0.007 | 0.002 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 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".