Process of Self-Leadership: Establishing Yourself as Leader No Matter Your Role
Bibliographic record
Abstract
As the field of early intervention/early childhood special education (EI/ECSE) focuses intently on building, supporting, and sustaining leaders across varying contexts and roles, this study introduced the concept of self-leadership to EI/ECSE self-identified leaders. The research explores differences in self-rated skills based on role, analyzes themes of goals for developing self-leadership skills, and analyzes the measurability of goals set by participants. Fifty-six participants completed the Abbreviated Self-Leadership Questionnaire (ASLQ) (Houghton, Dawley, & DiLiello, 2012), self-rated their own skills, and identified leadership goals. Results show that participants scored themselves highest on evaluating beliefs and assumptions about self-leadership. Self-identified goals resulted in three primary themes (administrative tasks, relationship building and coaching, and growth in learning). Directions for future research, policy, and recommendations for practice are discussed.
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How this classification was reachedexpand
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.003 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".