Bibliographic record
Abstract
Purpose The purpose of this paper is to examine how four styles of “morally ambiguous” leadership could have a philosophical basis, while relatively contributing to efficiently prevent bribery and extortion in the organizational life. Design/methodology/approach The paper identifies four styles of morally ambiguous leadership in taking philosophically based representations of “sociopolitical saviors” into account: “occasionally cruel saviors” (Niccolò Machiavelli); “occasionally compassionate saviors” (Adam Smith),; “socially conformist and compassionate” saviors (David Hume); and “revolutionary and implicitly compassionate” saviors (Hannah Arendt). Morally ambiguous leaders choose paradoxical ways to assume their moral responsibility. They use paradoxical strategies to prevent bribery and extortion in the organizational life. Findings The philosophical basis of those styles of morally ambiguous leadership unveils two basic antagonisms: the antagonism between cruelty and compassion; and the antagonism between social conformism and revolutionary spirit. The axis of power (Machiavelli) does not allow any connection between both antagonisms. The axis of self-interest (Smith) shows an intermediary positioning in both antagonisms (relatively compassionate, implicitly revolutionary). The axis of social conformism/compassion (Hume) and the axis of revolutionary spirit/compassion (Arendt) make leaders deepen their paradoxical positionings about moral issues. Research limitations/implications The four styles of morally ambiguous leadership have not been empirically assessed. Moreover, the analysis of Eastern and Western philosophies could allow decision-makers to identity other philosophically based and morally ambiguous positionings about moral issues. Other philosophies could also unveil further kinds of antagonisms that could be applied to prevention strategies against bribery and extortion schemes. Originality/value The paper presents a philosophically based analysis of morally ambiguous leadership and its potential impact on prevention strategies against bribery and extortion schemes.
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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 | 0.016 |
| 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 | 0.031 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.003 |
| 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".