The semiotics of the deictic field: Reckoning language and experience in East Los Angeles
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.023 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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 source (direct Gemma or distilled Codex), 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".