(Re)producing Salvadoran Transnational Geographies
Bibliographic record
Abstract
As contemporary international migrants forge new webs of connection and social fields between distant places, transnational scholarship seeks to understand and theorize these emerging spaces. Our account of the Salvadoran transnational social field centered in northern New Jersey contributes to the development of transnational theory by considering how a particular legal provision—temporary protective status (TPS)—permeates daily life. We argue that material and nonmaterial aspects of daily life become associated with an experience of space-time relations to which we refer as permanent temporariness. Permanent temporariness limits the geographic, economic, social, and political ambitions of Salvadorans, but is increasingly resisted through acts of strategic visibility. Our article reflects on the implications of permanent temporariness for the production of scale in the particular transnational field we study, and on links to broader discussions about transnationalism, the international political economy of migration, and capitalist restructuring. To represent the experiences of Salvadorans, we use a transnational mixed-methods approach to pool quantitative and qualitative data that were collected serially at multiple sites.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.004 | 0.005 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.000 | 0.006 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".