Food as a Method of Placemaking for Latin American Immigrants in the US South: A Case Study of a Neighborhood in South Nashville, TN
Bibliographic record
Abstract
Diverse groups of immigrants from Latin American countries populate modern-day Nashville like many other urban areas in the US South. Since the 1990s, immigrants from Mexico and other Latin American countries have migrated in high numbers to the region, leading to the creation of terms like “Nuevo South.” In Nashville, Latinx immigrants have culturally expressed themselves through food and food institutions have acted as impetus for a sense of community. International grocery stores and cultural restaurants not only act as mediums to spread and establish a sense of culture, but also as places for communities to form and learn from one another while integrating into a new environment. This paper will examine existing literature on the recent influx of immigration to the US South and the expression of culture via food in immigrant neighborhoods. This paper will employ Karen O’Reilly’s 2012 definition of participant observation ethnographies and Mark Wyckoff’s 2014 definition of placemaking to analyze immigrant-owned restaurants and grocery stores along Nolensville Pike in South Nashville as places of community. This paper seeks to prove that these food institutions constitute vital methods of placemaking for immigrants in the US South.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.018 | 0.006 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".