Eavesdropping on the past: An oral history exploration of English and Spanish in contact in Texas' Rio Grande Valley, 1904-1945
Bibliographic record
Abstract
This thesis investigates the interaction of English and Spanish L1 communities in the Rio Grande Valley of South Texas from 1904 to 1945 (an era of mass English L1 migration from the Northern United States and Canada to this historically Spanish-speaking region) via analysis of oral interviews that record both language communities’ memories of the era’s social structures. Collectively, the interviews tell the story of the region’s sociocultural and sociolinguistic environment with a view to exploring how members of each community reacted to the presence of the other language during the first years of significant English/Spanish language contact in previously linguistically isolated areas of the Rio Grande Valley. The primary goals of this project are to (1) to explore how the early 1900s South Texan social setting affected speakers of English, Spanish, or both; and in so doing, to (2) pilot a narrative-based model for future historical sociolinguistics research.
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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 | 0.002 | 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 | 0.009 | 0.007 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| 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".