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Record W2987032040

Protecting the Health and Safety of Pilots: A Critical Analysis of Flight and Duty Time Regulations in Canada

2016· article· en· W2987032040 on OpenAlexaboutno aff
René David-Cooper

Bibliographic record

VenueMemorial University Research Repository (Memorial University) · 2016
Typearticle
Languageen
FieldHealth Professions
TopicOccupational Health and Safety Research
Canadian institutionsnot available
Fundersnot available
KeywordsAviationCivil aviationAviation safetyDutyContext (archaeology)Profitability indexCommercial aviationAeronauticsGovernment (linguistics)EngineeringBusinessFinancePolitical scienceLaw
DOInot available

Abstract

fetched live from OpenAlex

Civil aviation is the most regulated and likely the most competitive mode of transportation in the world. When commercial air transportation gained its economic momentum in the middle of the twentieth century,
\nstrong competition forced emerging airlines to find new ways to increase their profitability, such as optimising the utilisation of their pilots to reduce labour costs.
\nAs new technology allowed pilots to fly transcontinental flights for extended hours, government regulators in the 1960s quickly realised that pilot fatigue was a developing threat to the travelling public. By focusing
\non human factors in the context of flight safety, flight and duty time (FDT) regulations were adopted to limit the number of hours airline pilots spent flying and working on duty.
\nThis article will analyse the current FDT regulations in Canada. While many Members States of the International Civil Aviation Organization (ICAO) have modernised their FDT regulations in the last few years, Canada’s regulatory approach to mitigate pilot fatigue is clearly outdated. This article will critically evaluate the existing and potential shortcomings of the pilot fatigue regulations currently in force in Canada. There is a
\ngenuine feeling in the industry that these regulations and current laws are inadequate or obsolete, as they do not reflect modern pilot fatigue science and place smaller carriers flying in unorthodox environments at risk.

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 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)0.004
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.185
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.003
Science and technology studies0.0030.001
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.001
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 head0.051
GPT teacher head0.362
Teacher spread0.311 · 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 teacher head, not a consensus.

Study designObservational
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

Citations1
Published2016
Admission routes1
Has abstractyes

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