Bibliographic record
Abstract
Special Section: Strategic Ignorance and Global Governance • Mallard and McGoey on Epistemologies of global power • Heimer on Norms in global public health • Halliday on Plausible folk theories • Seroussi on Folk theories and international justice • Niederbeger on Ignorance in international investigations • Mallard on Cover-ups and nuclear proliferation • Pénet on IMF "failure" Special Section: New Approaches to Social Mobility • Miles on New approaches to social mobility • Miles on Narratives of class identity • Jackson and Grusky on A post-liberal theory of stratifi cation • Snee and Devine on Inequality in 21st Century Britain • Gamsu on Diversifi cation in schools • Shakroni on Upward educational mobility Other Papers • Liebling and Williams on The new subversive geranium • Robison and Stubager on Class pictures in citizens' minds • Abbiati et.al. on Social stratifi cation in higher education • Wheeler on The moral economy of ready-made food • Anderson et.al. on Identity politics and Muslim Gay men • Kaler and Parkins on Time, motivation and humanitarian action
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.006 | 0.005 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.008 | 0.004 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.944 | 0.910 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".