Who wants to lead? The role of romantic and parental relationship quality on motivation to lead
Bibliographic record
Abstract
Although organizational leadership is widely studied, research on antecedents of leadership, including motivation to lead, has largely escaped empirical attention.This research includes two studies that aim to address this empirical gap, by examining relationship quality as an antecedent to motivation to lead.Study 1 focuses on parent-child relationship quality, while Study 2 focuses on romantic relationship quality.Results indicate that parent-child relationship quality is associated with both social-normative and non-calculative motivation to lead.Moreover, parental identification moderated the association between parent-child relationship quality and noncalculative motivation to lead, while parent leadership role occupancy moderated the association between parent-child relationship quality and affective-identity motivation to lead.Results also suggest that self-esteem and leader self-efficacy mediate the relationship between romantic relationship quality and the three sub-types of motivation to lead.Understanding antecedents to motivation to lead is important, as it predicts leadership outcomes and has implications for individual and employee development.
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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 | 0.002 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".