Linkages Between Grade Point Average and Student Ratings
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
In order to better understand the potential influence of high school students’ grades on how they rate their teachers and schools, we explored the relationship between student grade point average and student ratings of teacher and school effectiveness in 370 classes taught by 230 instructors with over 6,000 students in grades 9–12 in an Intermountain West school district. Teachers were evaluated with an 18-item student survey. Students also rated their schools with six additional items. The performance measure was the grade point average (GPA) for the quarter in which students evaluated their teachers and schools. ANOVAs showed that both year in school and GPA were positively linked with ratings of teacher effectiveness and ratings of school experiences. Seniors were more positively disposed toward their teachers and school experiences than students at lower grade levels. Most of the ratings of specific items on the teacher effectiveness and school-experience scales were significantly, though not strongly, correlated with GPAs. We discuss implications and suggestions for future research.
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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 | 0.006 | 0.029 |
| 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 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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