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Record W2319656652 · doi:10.3167/mih.2014.050114

Taking Off: Thinking Historically about Air Travel and Mobility in Late Twentieth-Century Canada

2013· article· en· W2319656652 on OpenAlexaboutno aff
Bret Edwards

Bibliographic record

VenueMobility in History · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
Fundersnot available
KeywordsAir travelAviationHistoryJet (fluid)Air transportEconomic historyGeographyEconomyPolitical scienceAeronauticsEngineeringEconomics

Abstract

fetched live from OpenAlex

In some respects, the history of aviation in Canada has been capably told. Historians have extolled air travel and the accelerated mobility it has offered Canadians, helping them overcome natural geographic barriers and knitting together the country’s disparate regions. But what has not been satisfactorily acknowledged is the global historical story of Canada and commercial air travel during the dawn and maturation of jet travel beginning in the late 1950s. The jet age made air travel a quintessentially global mode of mass transportation, expanding and intensifying connections between distant locales like never before. Canada was not immune to these developments; transoceanic air passenger traffic rose sharply from the 1960s, particularly to and from its major cities. The jet age thus constitutes a pivotal phase in the history of Canadian commercial air travel, having left a distinctive footprint on late twentieth-century Canada.

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)0.002
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.229
Threshold uncertainty score0.895

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0040.007
Science and technology studies0.0460.029
Scholarly communication0.0140.005
Open science0.0030.004
Research integrity0.0020.005
Insufficient payload (model declined to judge)0.0060.000

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 head0.012
GPT teacher head0.209
Teacher spread0.198 · 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 designTheoretical or conceptual
Domainnot available
GenreEmpirical

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

Citations0
Published2013
Admission routes1
Has abstractyes

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