Negotiating Place, Identity, and Role; First Experiences as a Teacher Leader (What is the Experience of a Teacher Moving into a Teacher Leadership Role?)
Bibliographic record
Abstract
In their respective positions as instructional coach, lead teacher, and consultant, teacher leaders are to implement and in many cases, lead educational reforms by modeling and encouraging changes in pedagogy and practice. This complex leadership role necessitates constant negotiation as teacher leaders gauge when and how they may encourage, direct, and support the teachers they work with. Further complicating this role is its non-supervisory nature; teacher leaders are not to evaluate their colleagues for employment purposes nor can they discipline or reprimand them. Instead, teacher leaders must rely on their credibility as experienced educators and their ability to encourage and support. Teachers who move into teacher leadership positions report that this transition is complicated by a need to balance collegial relationships while at the same time provide constructive criticism. This phenomenological inquiry, based upon lived experience descriptions from teacher leaders, examines two of the first interactions of newly appointed teacher leaders: meeting the staff and visiting the classroom. The paper provides insight into the negotiation process teacher leaders go through as they assert and define their role with their colleagues. Dimensions explored include entering new territory, being set apart, encountering skepticism, coming under fire, finding a place, providing feedback, considering the impact, and receiving validation.
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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 | 0.005 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.013 | 0.018 |
| Scholarly communication | 0.011 | 0.008 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.003 | 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".