ČSA in North America. A Study on the Transcontinental Air Transport of the Czechoslovak Airlines to Cuba, Canada, the USA and Mexico in the Years 1962-1989
Bibliographic record
Abstract
The transcontinental air transport of the Czechoslovak Airlines (ČSA) to the American continent is one of the neglected and unknown topics of contemporary history. Commercial activities of ČSA in Cuba, Canada, the USA and Mexico have not yet been investigated or professionally processed. Thus, not only the circumstances of the creation of the network of long-distance lines, but also the actual activities of Czechoslovak Airlines in these overseas countries remain completely unknown to the general public. The study is prepared on the basis of archival documents from the Czechoslovak Airlines fund stored in the State Regional Archives in Prague. It is the result of analytical research carried out in the years 2019-2023 with the aim of mapping the commercial activities of ČSA in Cuba, Canada, the United States of America and Mexico, where the company operated regular flights. In the case of Cuba since 1962, in the case of Canada and the USA since 1970. In Mexico, the airlines only opened their representation in the so-called "off-line" status in 1968. They started flying to Mexico City in 1990, but the air connection only lasted six months. The thesis aims to comprehensively describe and characterize the origin, development and operation of regular Czechoslovak Airlines flights to North America. The...
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 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 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".