Stability of School Academic Performance Across Subject Areas
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
Recent studies on the stability of school academic performance across school subject areas show two weaknesses: a lack of research attention to elementary schools and a lack of adequate statistical adjustments for school characteristics. With data describing elementary students (N = 6,883 students in Grade 6 in 148 schools) from the New Brunswick School Climate Study (NBSCS), the current study examined correlates of academic performance across mathematics, science, reading, and writing among students and among schools, using a multivariate multilevel model with statistical adjustments for student characteristics and school context and climate characteristics. Results indicated that (a) students were differentially successful in different subject areas, (b) schools were differentially effective in different subject areas, and (c) the differential success was more obvious among students than among schools. Findings of this study call for a new type of school programs that aim to ensure that students progress equally in different subject areas and for stronger school policies that systematically coordinate classroom or department practices.
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 | 0.005 | 0.002 |
| 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 | 0.001 |
| 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