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
In this essay, Joseph Carens responds to the other articles, primarily by exploring methodological issues. In particular, he argues that what appear to be disagreements between the other authors and him are often really differences in the questions they are asking and in the presuppositions they are adopting. He contends that this is especially clear with regard to the pieces by Tom Malleson and Jim Johnson, both of which address questions about egalitarian political economy and the uses of markets. He endorses Arash Abizadeh’s defence of an open borders view, simply noting a difference in their theoretical approaches. He unpacks Sarah Song’s objection to the analogy he drew between feudal privilege and the advantages enjoyed by people in rich states today, showing why it is unclear whether he and she really disagree. He argues that Rainer Bauböck’s action-guiding approach to political theory is an alternative to his own approach that has its own disadvantages and limitations. He agrees with Courtney Jung’s argument that the foreseeable effects of climate change on mobility do not undermine his open borders argument. He concludes by expressing deep appreciation for the ways in which the article by Simone Chambers and the one by Kiran Banerjee and Abe Singer bring into view the complexities and challenges entailed by the practice of 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 | 0.002 | 0.026 |
| 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 | 0.002 |
| 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