Grade Inflation: Causes, Consequences and Cure
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
Academic institutions worldwide, from primary schools to universities, use grades or marks as a fundamental sorting and signaling mechanism for students. The grades awarded to students should be indicative of learning outcomes. However, do the grades awarded today accurately reflect student achievement in the classroom? Grade inflation has become a widespread phenomenon within the education system in the past thirty years, garnering massive condemnation among educators, researchers and the public. Some people even view grade inflation as a scandal, an injustice and a violation of student trust. Nevertheless, there are some academic institutions that find it convenient to ignore this problem and, in some cases, encourage the practice. In this paper, we examine the various factors that can contribute to grade inflation. Additionally, we assess how grade inflation can create problems for students, faculty, and society as a whole. Finally, we provide some suggestions and recommendations to solve the problems of grade inflation.
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 | 0.002 | 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 | 0.001 | 0.001 |
| 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