A Quantitative Study on Student Financial Aid of a Local Undergraduate College in China
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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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".