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
This article argues that we must distinguish between two distinct currents in the politics of recognition, one centred on demands for equal respect which is consistent with liberal egalitarianism, and one which centres on demands for esteem made on behalf of particular groups which is at odds with egalitarian aims. A variety of claims associated with the politics of recognition are assessed and it is argued that these are readily accommodated within contemporary liberal egalitarian theory. It is argued that, pace Taylor, much of what passes for `identity' or recognition politics is driven by demands for equal respect, not by demands for esteem/affirmation. Given the inherently hierarchical nature of esteem recognition, no liberal state can consistently grant such recognition. Furthermore, these demands pose the risk of intensifying intergroup competition and chauvinism. Esteem recognition is valuable for individuals, but plays a problematic role for egalitarian politics.
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 | 0.005 | 0.004 |
| 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 | 0.001 |
| 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