Just Caring? Supervisors Talk About Working With Incompetent Teachers
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
The administrative strategy of inducing the exits of teachers whose performance has been judged incompetent has received little scholarly attention. Because of the complex moral issues involved, we view situations in which induced exits are the means to removing incompetent teachers from classrooms as a crucible for ethical questions about the enactment of caring and just administrative leadership in education. We take as the framework for our analysis the contention of some scholars that there is a necessary complementarity between - or integration of - caring and justice in both theory and practice. Drawing on data, particularly interviews, from a recent study that explored the supervisory processes leading to forced resignations, our purpose is to show how some supervisors' accounts suggested a blend of caring and justice while others did not. We hope this analysis invites reflection on what constitutes ethical supervisory practice in a difficult and morally perplexing area of administrative 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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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 it