Images of the “other”
Bibliographic record
Abstract
This article explores the relationship between Pan American World Airways (Pan Am) and Latin America to understand the role of Western multinational corporations in the historical processes of postcoloniality—that is, the representation of the non-Western “other” to Western audiences. Informed by postcoloniality and the use of a critical hermeneutics method, we draw on 64 years of archived materials from the Pan American World Airways Collection 341, housed at the Otto Richter Library at the University of Miami, as well as numerous histories of the airline. Our findings show how Pan Am gained a powerful position, both politically and economically, which facilitated its ability to construct influential images of Latin American employees, citizens, and the idea of Latin America. Although Pan Am ceased operations in 1991, its years of dominance in South America had the capability to contribute and provide insights into our understanding of the continued postcolonial processes and the idea of (North) “Americanism.” More importantly, our article demonstrates how using a postcolonial framework can assist organizational and business scholars to better understand the role that historical patterns play in organizations still today. We hope that using alternative methodologies and theories such as postcolonialism to examine contemporary management culture, we will better be able to understand how history has been “written” in an effort to lessen “Western” ideologies and include diverse epistemological perspectives.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.009 |
| Scholarly communication | 0.005 | 0.005 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 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".