Bibliographic record
Abstract
Foreign land control and Afro-Panamanian women domestics are mutually constituted and embedded in tourism development in Panama. In this article, I center the racial and patriarchal logics of dispossession informing land control, a process that connects twenty-first-century residential tourism development to twentieth-century U.S. imperial formations in the making of the Panama Canal. My approach blends ethnographic research with historical data collection, newspapers, and development-related policy documents drawn across a variety of research sites in Panama, Spain, and North America. To begin, I briefly trace the contemporary context of tourism-induced land dispossession and the growing tenure insecurities for Afro-Panamanian communities living on the shores of the Panamanian Caribbean. Here I show how residential tourism development reproduces settler colonial landscapes. Further, I place in conversation the concepts of postcolonial intersectionality and cuerpo-territorio (Cabnal Citation2015) to illustrate how land control and domestic service are interconnected, punctuating how land is not the only site of colonial governance. I then historicize tourism in Panama through tracing the discursive narratives of imperial formations in the early period of U.S. empire and the construction of the Panama Canal. I trace elite travel narratives, newspapers, and memoirs to link the racialized labor regimes of the Canal to the domestic spaces of the Canal Zone. Finally, I argue that foreign land acquisitions and domestic service are inextricably entangled in tourism development across time and space in Panama.
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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 | 0.002 | 0.003 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.000 | 0.000 |
| 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".