Advancing the Transformational–Transactional Model of Effective Leadership: Integrating two Classic Leadership Models with a Video‐Based Method
Bibliographic record
Abstract
The presented empirical study demonstrates that the predictive validity of Bass' “transformational‐transactional” model of leadership can be enhanced by incorporating certain aspects of the older Ohio State “initiating structure‐consideration” model of leadership. A precise, fine‐grained video‐based method shows that “initiating structure” behaviors (e.g., directing, informing, structuring) explained the variance in leader and team effectiveness better than “transactional behavior.” Thus, a refined version of Bass' augmentation thesis is supported: initiating structure behaviors (and not transactional behaviors, as originally posed) plus transformational leader behaviors are associated with high leader effectiveness. Another moderation effect of transformational leadership is established: between management‐by‐exception active and team effectiveness. The resulting expanded version of the transformational–transactional model calls for further video‐based research of effective (team) leadership behaviors.
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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 | 0.016 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".