Markets, Organizations, Institutions, and National Identity: Pan American Airways, Postcoloniality, and Latin America
Bibliographic record
Abstract
Abstract Purpose—Through a case study of Pan American World Airways (Pan Am), this chapter sets out to explore the roots of 20th century globalization and the postcolonial nature of the trading relations involved. Design/methodology/approach—Drawing on Foucault’s broad notion of “the archive” a critical hermeneutics approach is used to examine a series of company-produced texts, including minutes, travelogues, company narratives, annual reports, film, diaries, and published histories. Findings—The chapter argues that Pan Am contributed to the “idea of Latin America” and, in the process contributed to practices of dependency that served the interests of the United States. Drawing on a case study of Pan Am, the chapter further argues that multi-national corporations help to establish the contours of international trade by influencing the very character and boundaries of the territories traded in, with troubling implications for the countries traded in. Research limitations/implications—As a detailed case study extension of the findings to other global trading arrangements needs to take into account to social-political context and relational histories of the players involved. Practical implications—The chapter generates insights into the role of rhetoric in developing trading relationships and its roots in embedded notions of postcolonial thinking and generalizations. Originality/value—The chapter contributes to an understanding of the role of language and the social construction of national identities involved in the development of international business.
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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 | 0.003 |
| Science and technology studies | 0.008 | 0.012 |
| Scholarly communication | 0.007 | 0.005 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| 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".