Postgraduate Educational Aspirations and Policy Implications: A case study of university students in western China
Bibliographic record
Abstract
China's educational reform from the late 1990s, has substantially increased university capacity. This has been most evident in undergraduate enrolments. As an increasingly large cohort of university graduates enters the job market yearly, the demand for university graduates has not caught up with supply. Some university students plan to pursue postgraduate studies in order to delay their entry into the competition for jobs and to improve their educational credentials. This paper reports on findings from a survey of university students in Xi'an, China, identifying the types of students who aspire to postgraduate education. The findings confirm the importance of three sets of factors: (1) parents' education and financial capacity; (2) university attended; and (3) academic performance. The paper argues that educational policy change in China has resulted in students having to pay tuition fees and having responsibility for finding jobs, thus creating conditions conducive to students with better family and financial resources, and better academic standing, to aspire to postgraduate education. Further policy implications of these findings regarding the expansion, financing and affordability of graduate education in China are discussed.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.008 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".