Bibliographic record
Abstract
The debate whether university education should be “free” seems misconstrued. Even in a system without tuition fees, someone will have to foot the bill. This paper argues that from the viewpoint of justice, a strong case can be made in higher education for adopting the beneficiary pays principle, and for institutionalising it in the form of a graduate tax. My evaluation from the perspective of justice will focus on the comparison between a “free” university system funded through the general tax system on the one hand, and one financed through a graduate tax on the other. On the beneficiary pays principle defended here, the regressive nature of the general-tax-funded higher education system renders it unjust. Furthermore, I believe we have three reasons to favour a graduate tax in practice. First, I will suggest that it does a better job at implementing the beneficiary pays principle. Second, I will argue that even though the distributive outcome of a corrected general-tax-funded education may be just, it is unlikely to be perceived to be just. A third point of comparison between the two approaches to fund higher education will be international mobility, which will reinforce the case for a graduate tax from the viewpoint of justice.
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.
How this classification was reachedexpand
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 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".