Prophetic leadership and financial decision making quality: Partial Least Square (PLS) path modeling analysis.
Bibliographic record
Abstract
Prophetic leadership rests on the tenets of trait theory, spirituality, transcendent leadership and Religious leadership theory. It argues that leadership begins from within and works outward. Prophetic leadership also suggest the interconnectedness of leadership and social network theory, the necessity for finding common ground and synergy between leader and the followers and altruistic management to build leadership effectiveness. This paper proposed that prophetic leadership can be renewed by rethinking its theology and its epistemology across a full-spectrum of ‘Abrahamic faith’ prophets’ personality trait, organizational goal, task, and societal domains. It also analyzed the fitters of the model to financial sector via Partial Least Square (PLS) analysis using SmartPLS freely available software. Useable questionnaire of 110 respondents perceived that financial leaders hold the prophetic characteristics accept for posture and altruism. Financial decision qualities were derived from these characteristics.
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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 | 0.004 | 0.013 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".