Bibliographic record
Abstract
Editorial work on a volume of this journal typically starts a little over a year before the volume begins to appear with the February issue. Volume 36, which appeared in 2007, was assembled under the guidance of the Editorial Board that was in place in 2006. Thus this is the time to thank the members of the Editorial Board whose terms expired at the end of 2006 and those whose appointments began at the beginning of 2007, when work on the current volume began. Departing are Yolanda Lastra, Anita Pomerantz, Carol Myers-Scotton, Jef Verscheuren, and Don Zimmerman. All served Language in Society for many years, and their many contributions are gratefully acknowledged. New Editorial Board members beginning in January 2007 were Asif Agha (Department of Anthropology, University of Pennsylvania), Geoffrey Raymond (Department of Sociology, University of California at Santa Barbara), Otto Santa Ana (Department of Chicana and Chicano Studies, University of California at Los Angeles), and Jack Sidnell (Department of Anthropology, University of Toronto). All four have already contributed detailed, useful manuscript reviews and advice. Welcome to all!
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.
How this classification was reachedexpand
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 | 0.000 | 0.000 |
| 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) | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".