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
Distributive justice concerns the fair distribution of the benefits and burdens of social cooperation. Opposition to higher rates of taxation, or even existing levels of taxation, is often made on grounds that such taxes are unfair burdens. This fairness argument can be given a number of further, more-specific formulations. Libertarians, such as Robert Nozick, argue that taxation of income is unfair because it violates individual rights. They invoke an entitlement argument that presumes that the appropriate baseline of property rights is pretax income. Others take issue with specific policies that are supported by taxation, such as welfare provisions, and argue that welfare reform is necessary because tax burdens are only legitimate when they satisfy some form of reciprocity thesis. These arguments are critically assessed here in relation to three recent books – The Cost of Rights, The Myth of Ownership and The Civic Minimum – which explore different arguments often invoked in defence of tax cuts. Themes that raise important questions about taxation and justice are also examined – private property, welfare reform and inheritance. The real challenge facing justice theorists is to take scarcity seriously; thus, I emphasise the shortcomings of simply endorsing a ‘cost-blind’, rights-oriented conception of justice, which currently dominates debates in normative political theory.
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 | 0.001 | 0.012 |
| 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 it