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
William Labov launched the branch of language studies known as language variation and change or (more vaguely) sociolinguistics with several influential studies in the 1960s and seminal publications in the early 1970s. As the discipline spread to universities and research institutes in North America and, with remarkable rapidity, to Europe, Asia, the Antipodes, and ultimately all corners of the globe, Professor Labov has remained at or near the forefront of its various movements, including historical sociolinguistics, narrative analysis, sociometrics, subjective evaluation testing, educational and forensic applications, and sociophonetics, as well as mainstream variation studies. His breadth and depth as a scholar have influenced countless linguists and policy makers, and his enthusiasm and boundless optimism have inspired numerous colleagues, collaborators, and students. Several of them relate their personal experiences with the man and his ideas here.
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 | 0.053 |
| 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