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
The very idea of a "canonical data set" implies a whole organization of knowledge: first, the data are durably available—a quarter-century on—thanks among other things to the institutional continuity of the GSS as an important large-scale data-collection enterprise of American social science; second, the data remain meaningful, their validity underwritten by the methods of survey research; third, the disciplinary norms of sociology allow for the possibility of following on someone else's work by reusing the evidence they have already selected; fourth, that evidence can still bear on a significant research question within sociology, a testament to the fruitfulness of the research program in cultural taste and social structure which was set in motion, notably, by the Anglophone reception of Pierre Bourdieu's Distinction. Lizardo and Skiles's starting point, in other words, includes not simply the dataset itself but all the institutional conditions for a productive ongoing research program involving quantitative analysis of cultural data.
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 | 0.003 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 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