Legends of the Center: System, Self, and Linguistic Consciousness
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
Commentators on language standardization, including Bourdieu and Bakhtin, provide various perspectives on what this chapter calls modern linguistic consciousness: speakers’ awareness of their own speech in relation to others’ and in relation to the operation of centralizing system. In this chapter, these formulations are used to analyze interview data collected from readers and writers at a South Asian university—and, in turn, these data elaborate the picture of modern linguistic consciousness. Readers and writers can pick out self amidst the words of others, and in the presence of centralizing mandates; they can position themselves in working spaces adjacent to system, and, while recognizing speech norms, imagine themselves as not occupying those norms. Linguistic consciousness can be detected in the expression of rules—but rules themselves turn out to be complex spaces hosting diverse possibilities. Moreover, modern systems, in managing the speech of populations, may not always operate exclusively in the service of the centre.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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