The semiotics of the deictic field: Reckoning language and experience in East Los Angeles
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 This analysis examines the ways in which a single speaker, Ana, born in mid-century East Los Angeles, organizes and reflects upon her experiences of the city through language. Ana’s story is one that sheds light on the experiences of many Mexican Americans who came of age at a critical time in a transitioning L.A., and the slow move of people who had been up until mid-century relegated largely in and around racially and socioeconomically segregated parts of L.A. These formative experiences are demonstrated to have informed the ways that speakers parse the social and geographical landscape along several dimensions, and this analysis interrogates the symbolic value of a special category of everyday language, deixis , to reveal the intersection between language and social experience in the cityscape of L.A. In this way, it is analytically possible to not only approach the habituation and reproduction of specific deictic fields as indexical of the ways that speakers parse the city, but also to demonstrate the ways in which key moments in the history of the city have shaped the emergence and meaning of those fields.
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 | 0.016 |
| 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