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Record W4406340784 · doi:10.1017/s0165115324000275

“Bringing ‘The Magic Carpet Up to Date’: Imperial Airways in Iraq, 1920–1932”

2024· article· en· W4406340784 on OpenAlexfundno aff
Laith Shakir

Bibliographic record

VenueItinerario · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicWorld Wars: History, Literature, and Impact
Canadian institutionsnot available
FundersAcademic Research Institute in IraqYork University
KeywordsForegroundingEmpireImperial unit systemColonialismHistoriographyAviationTourismLawHistoryPolitical scienceEconomic historyEngineeringArt

Abstract

fetched live from OpenAlex

Abstract Scholars working on mandate Iraq have demonstrated the centrality of indiscriminate air power in the British Empire's “policing” tactics, recognising an intimate link between the Royal Air Force and mandatory rule. Less clear, however, is how Iraq's emergence as a node in interwar commercial aviation routes was also the product of British control. Foregrounding the activities of the British airline Imperial Airways (1924–1939) sheds light on the imperial roots of air tourism in Iraq. Using government records and the archives of Imperial Airways—alongside popular press books, magazines, newspapers, and ephemeral promotional material—this article draws attention to how Imperial Airways’ proponents talked about air travel in Iraq both as a boon for the British Empire and as a means of “developing” the mandated state itself. In this latter vein, promoters of “air-mindedness” emphasised Iraq's antiquity for multiple ends. First, and perhaps most obvious, to make it more enticing for tourists. Second, they juxtaposed an image of Iraq as frozen in the past with aviation's modernising potential. Ultimately, in foregrounding civic aviation, this article aims to contribute to the nascent historiography of tourism in Iraq alongside broader debates about transportation infrastructure, culture, and empire in the interwar period.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.115
Threshold uncertainty score0.229

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0080.007
Scholarly communication0.0030.002
Open science0.0010.002
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0040.001

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 head0.018
GPT teacher head0.299
Teacher spread0.281 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

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".

Quick stats

Citations1
Published2024
Admission routes1
Has abstractyes

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