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
Value-added assessment, as first appeared in the “Coleman Report”, is an assessment model that takes the extent of students’ progress and growth as the standard, and reflects a “student-centered” quality concept. Value means consistence, correspondence, and proximateness between the existence, attributes and changes of the object on the one hand and the dimensions of the subject on the other hand. From the perspective of the object of higher education services, value-added in higher education is represented by value-added in the serving products of public services - students; from the perspective of the producers of the serving products of higher education, it is represented by the improvement of the systematic functioning of higher education institutions; and from the users of the serving products of higher education, it is represented by the increase of the satisfaction of government, society and family towards higher education. The value-added assessment is directed at the starting point, process and results of higher education, its functions are diagnosis, improvement and supervision, and its footholds are improvement of quality and promotion of fairness.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.001 | 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) | 0.002 | 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