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
ABSTRACT Here I consider some of the major themes that emerged in linguistic anthropology in 2009, focusing on intersections with other disciplinary fields. Research on globalization, citizenship, publics, footing, and register formation shows how linguistic anthropology has developed a distinctive set of tools to address broad questions in the human sciences. The subdiscipline remains centrally concerned with the semiotic qualities specific to language and the forms of social life that these qualities enable. “Language” has not yet dissolved into a weak adjective in quite the same way that “culture” or “society” seem to have done, and much of the most sophisticated conceptual work on the semiotics of life lived collectively continues to focus on the concrete aspects of this multifaceted phenomenon. Linguistic anthropology maintains a relatively stable theoretical core compared to its subdisciplinary siblings, even if few of us would agree on what constitutes the limits of the field.
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 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.183 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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