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
Abstract What is the relationship between the fair distribution of goods in general, and the intrinsic, or distinctive, value of educational goods in particular? In this article, Christopher Martin and Tal Gilead argue that clarifying this relationship has significant importance for educational justice, and they aim to accomplish this by focusing on questions of resource allocation. In particular, the authors draw on Michael Walzer's theory of “spherical” justice in order to argue that intrinsic goods are important enough that they should be of normative concern for any theory of educational justice. That is to say, a conception of educational justice that takes distributive relationships seriously should account for how the nonpositional values of education are served by resource allocation, and not only socioeconomic or other positional goods. However, Martin and Gilead also claim that such a pluralist theory of educational justice should not open the door to educational policies and practices that are plainly “antiegalitarian.” They address this concern by proffering a distinction between, and criteria for adjudicating, legitimate and illegitimate judgments of justice that aim to protect or promote intrinsic educational goods.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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