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Record W4413581379 · doi:10.1177/00225266251362137

“Very V.I.P.”: Pan American's Clipper Clubs, the regulatory state, and exclusive spaces in commercial aviation, 1949–1974

2025· article· en· W4413581379 on OpenAlex
Kevin J. James

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueThe Journal of Transport History · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicMilitary history and social perspectives
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsClipper (electronics)AeronauticsAviationState (computer science)Political scienceEngineeringBusinessLawAerospace engineeringComputer scienceElectrical engineering

Abstract

fetched live from OpenAlex

This study explores the history of the creation of, and disputes that surrounded, Pan Am's exclusive “Clipper Clubs”, which were designed to attract and retain high-value clients, as well as to consolidate networks of key policy makers and business leaders in the commercial aviation sector. Established in the 1940s, they were dismantled in the 1970s under pressure from actors who contended that they offered privileges to members chosen through an opaque selection process.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.785
Threshold uncertainty score0.984

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.002
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.011
GPT teacher head0.265
Teacher spread0.254 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it