Generation X School Leaders as Agents of Care: Leader and Teacher Perspectives from Toronto, New York City and London
Bibliographic record
Abstract
This paper draws on evidence from our three-year Economic and Social Research Council (ESRC)-funded research study of the lives, careers, experiences and aspirations of Generation X (under 40 years of age) principals and vice-principals in London, New York City, and Toronto. More specifically, the paper examines interview evidence from nine school-based studies in which nine leaders and 54 teachers discuss their perspectives on leaders’ care of their staff members. The evidence demonstrates that leaders and teachers both place a high level of importance on leaders’ ability and willingness to be supportive, understanding, and approachable. Teachers also expect leaders to serve as advocates for and role models of good work/life balance. While the school-level studies take place in radically different city-based contexts, the expectation of leaders’ care for teachers transcends different accountability and policy structures. Both groups focus their discussion on work/life balance and, more specifically, the need for leaders to understand that teachers are people with lives beyond school. The paper highlights implications for policy, practice, and future research.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.014 | 0.004 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".