A Culture of Success—Examining School Culture and Student Outcomes via a Performance Framework
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
<p>This study is a report of the relationship between a collaborative school culture, teacher quality and the influence these variables have upon student attendance and suspensions. The research is based upon data gathered from 50 public schools throughout the southeastern United States. Surveys were administered to examine teacher quality characteristics, elements of educational leadership, and components of a collaborative school culture. Data were analyzed in relation to teacher input characteristics such as certification, years teaching, percentage teaching out of field, and highest degree obtained. The findings revealed that as teacher collaboration increased, the model predicted that student suspensions would decrease by 6.709%. In addition, the model predicted that when the percentage of out-of-field teachers within a school increased, student suspensions would decrease by 0.16%. Finally, as the percentage of non-certified teachers within a school increased, the student suspension percentage increased by .22%. The findings offer valuable insight into the characteristics of quality teaching and school culture that demonstrate the greatest impact on student attendance and suspensions and may influence educational policy, teacher training, educational leadership, and school reform initiatives.</p>
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 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) | 0.000 | 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