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Record W3122186659 · doi:10.4236/jss.2021.91020

Working in the Air: Time Management and Work Intensification Challenges for Workers in Commercial Aviation

2021· article· en· W3122186659 on OpenAlexaffabout
Anne Gillet, Diane‐Gabrielle Tremblay

Bibliographic record

VenueOpen Journal of Social Sciences · 2021
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicAviation Industry Analysis and Trends
Canadian institutionsUniversité TÉLUQ
Fundersnot available
KeywordsWorking timeTemporalitiesWork (physics)Diversity (politics)Working hoursAviationCrewContext (archaeology)Working environmentCharterWorking groupEngineeringPublic relationsBusinessOperations managementAeronauticsPolitical scienceLabour economicsGeographyEconomics

Abstract

fetched live from OpenAlex

In the air transport sector, the work of flight attendants is characterised by the diversity of their temporalities and working hours. The constraints of working time have impacts on the organization of other activities and social times of the staff. This text shows the diversity of working hours and the way they are articulated to other temporalities, in a working context where the cabin crew is constantly changing, working on different temporary teams. The paper analyses the regulations, the definition of working time and the specific method of calculating this chronological time dedicated to the work activity. It shows the intensification of work experienced by the flight attendants, the fragmentation and heterogeneity of working times. The constraints of atypical working hours are analysed through timetables and the tensions experienced between professional, family and personal times. Professional activities are characterised by a diversity of working and non-working times that are strongly interconnected. Some national particularities highlighted can offer interesting solutions to several difficulties experienced elsewhere and illustrate ways of adjusting or getting around the working time issues specific to the work of the flight attendants. This paper is based on theoretical and empirical research carried out with air hostesses, stewards and pursers employed in several regular, low-cost and charter airlines in Canada and in several European countries.

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)0.002
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.252
Threshold uncertainty score0.144

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
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 head0.182
GPT teacher head0.320
Teacher spread0.138 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations10
Published2021
Admission routes2
Has abstractyes

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