The value of leaders we trust and leaders who make us stronger: Exploring the distinct contributions of different components of identity leadership to group member outcomes
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This study investigates the critical role of social identity in leadership, specifically examining identity leadership (IL) and the unique contributions of its four subdimensions: identity prototypicality, identity advancement, identity entrepreneurship, and identity impresarioship. To date, research has largely focused on the global construct of identity leadership and shown that in organizational contexts, it is a predictor of a range of outcomes, including group members’ burnout and organizational citizenship. However, the distinct roles of the four subdimensions remain little understood. Extending earlier findings, we address this gap by testing the hypothesis that the four subdimensions are differentially implicated in two key mechanisms that underlie the relationship between IL and group outcomes: (a) trust in the leader and (b) team identification. The present study explores this proposition by using structural equation modeling with latent factors to test a mediation model in 2020–2021 data from the Global Identity Leadership Development project (GILD; N = 7,855). As hypothesized, we found that identity prototypicality and identity advancement predominantly predicted greater trust in the leader, whereas identity entrepreneurship primarily predicted greater team identification. Contrary to our hypothesis, identity impresarioship showed a negative relation with trust. In turn, both trust in the leader and team identification were positively associated with organizational citizenship behavior (OCB), and negatively with burnout. We conclude by reflecting on the implications of these findings for both the theory and practice of leadership.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it