The Lone Ranger in Rural Education: The Small Rural School Principal and Professional Development
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
A pressing need on principals and their demands for personal professional development is improving their performance based on evaluation policy standards. State policy standards dictate how principals evaluate teachers and how they are evaluated. Surveying rural principals we investigated the current understanding of state standards and needs for professional development. Rural districts in Utah are remote and isolated. This research highlighted that within Utah rural schools, small school principals have different needs and practices when compared to medium sized rural school principals. Small school principals reported having spent two hours less in collaborating with and mentoring their teachers than did medium school principals. Small school principals also spent less time collaborating with other principals. Based on these results, we recommend that district and state administrators and policy makers target small school principals to provide the needed professional development to assist them in an already isolated and overloaded position.
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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 | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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