Secondary Principals at the Center of School Reform: Portraits of Leadership
Bibliographic record
Abstract
The number of studies related to school reform and principal leadership styles confirms both the interest in how the two might be related and the enigma that schools and principals present as research topics. The art and science of school reform is hard to figure. While many studies attempt to make sense of an overlapping and competing set of variables that are found in good schools, nearly all studies have confirmed some support for principals as a key ingredient to school improvement.\nThis study seeks to add to the increasing amount of research related to principal leadership styles in an era of increasing levels of accountability. The focus for this study was on four high school principals who were identified as "successful" by their central office superintendents. Each of the principals was a veteran administrator in three of the six largest school districts in Florida. This study's initial focus was on site-based management and the amount and degree of control afforded the principal, teachers and parents in secondary schools. The literature review found that site-based management by itself could not be confirmed as a reliable, research-supported school reform protocol. In each case where site-based management or distributed leadership was found to be successful, the principal was the key antecedent to the school improvement.\nThis study sought to add to the research on principal leadership styles by providing a qualitative view on the lives and efforts of the principals in these four schools. The study employed a phenomenological approach and used a technique called portraiture to paint the narratives of the four participants. The interviews and site visits provided a great deal of data and produced four key themes or tendencies found in all four principals: They tended to be I-focused, We-focused, Servant-focused, and Learning-focused. These four styles of leadership were found to be both overlapping and paradoxical. Though each of the participants had slightly different leanings, all of them shared aspects of the four tendencies. The study adds to the growing research on school reform and principal leadership styles and provides a deeper understanding of each through its use of phenomenological methods.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.003 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.011 | 0.002 |
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".