A Quantitative Study on Student Financial Aid of a Local Undergraduate College in China
Why this work is in the frame
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Bibliographic record
Abstract
This study took the student aid data of a normal university in northern Jiangsu Province in 2018 as the object ofstudy, and studied the characteristics of student aid work in local colleges. Through the analysis of the data, it isfound that the characteristics of student aid in local undergraduate colleges and universities in China are as follows:the main source of investment is government, supplemented by colleges, and the amount of social aid is small andunstable; the function of the aid work is still mainly to help the poor, supplemented by awards for the students withexcellent academic performance, and aid for poor students without extra requisites are large in amount. The projectsrewarding outstanding students from the college funds are few in ordinary local colleges and universities, with lowreward amount per capita; the willingness of college students to apply for student loans is low, as loans need to berepaid, the attraction of loans to poor students who can afford partly of the cost is weak, compared with manynon-repayment and non-academic performance requirements aid projects.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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