Bibliographic record
Abstract
Abstract Language is an integral element of most multicultural contexts. Take, for example, the resurrection of Hebrew as a lingua franca in multicultural Israel, the role of French in Quebecois separation, and the revival of Catalan in Spain. Yet beyond nationalist and ethnic arenas, forms of language (e.g., dialect, nonverbals, and discourse) play key roles in virtually all intergroup situations—as evident in adolescents' distinctive speech styles, patronizing ways of addressing and referring to older adults and those physically challenged, gay expressions and tone of voice, and so forth (see Clément, 1996). In fact, intergroup processes have become core foci in the social psychology of language, as witnessed by their frequent occurrence across many different chapters of The New Handbook of Language and Social Psychology (Robinson & Giles, 2001), and language and communication issues have, in turn, featured prominently in the study of intergroup relations (Kashima, Fielder, & Freytag, 2007; Reid & Giles, 2005).
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 | 0.001 | 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 | 0.000 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".