Performing Pan American Airways through coloniality: an ANTi-History approach to narratives and business history
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This paper centers on the role of narratives in business history from an ANTi-History perspective. We focus on the networked processes through which narratives are told of, for, and by multi-national companies embed the development of ‘new imperialism’ and coloniality. We set out to achieve this through a discussion and application of ANTi-History to a study of Pan American Airways and particularly its performance as a maturing multi-national company and its relationship to postcoloniality. In the process, we also hope to contribute to recent calls in business history for more explicit accounts of the methods used in the development of historical accounts. We are concerned to encourage ‘a narrative turn in business history’ but also to do so critically, i.e. to reveal some of the strengths and limitations of a narrative turn. We conclude with reflections on the relationship between methods and the production of (business) history.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 it