Bibliographic record
Abstract
This analysis discusses how individuals living in Laredo, Texas, a city situated in the US–Mexico border region, celebrate and negotiate their identities through experiences in the annual Washington Birthday Celebration (WBC). The study provides insight into how a city that has been identified as the least diverse city in the United States, with 98% of its population being Latino (Lee, Barrett A., John Iceland, and Gregory Sharp. 2012. Racial and Ethnic Diversity Goes Local: Charting change in American Communities over Three Decades. Department of Sociology and Population Research Institute The Pennsylvania State University.) and about 91% of the population speaking Spanish (United States Census Bureau. 2013. Language use in the United States: 2011. [Data file]. http://www.census.gov/prod/2013pubs/acs-22.pdf), celebrates US American figures in a patriotic event established in 1898. Through engagement in this celebration, individuals take part in performing and constructing their identities, with physical performances of US American historical figures being afforded only to a select few. In order to answer how the WBC serves as a site for performances and negotiations of identity, the focus of this analysis is on enactments observed in The Society of Martha Washington (SMW) and on the experiences and interpretations of seven focal participants whose social group membership distinguishes how and to what extent they can perform a specific identity. The findings of this study suggest that participants share in their understanding of the manner in which a patriotic event is celebrated through the inclusion of two border cultures, but also illustrate how a particular kind of identity performance is accessible only to some, establishing status differentials in what is meant to be a shared celebration.
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.
How this classification was reachedexpand
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 | 0.001 |
| 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 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".