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Contexts and constructs: Implications for the testing of listening in pilots’ communication with air traffic controllers

2020· article· en· W3095572435 on OpenAlexaff
Angela Carolina de Moraes Garcia, Janna Fox

Bibliographic record

VenueThe ESPecialist · 2020
Typearticle
Languageen
FieldArts and Humanities
TopicSubtitles and Audiovisual Media
Canadian institutionsCarleton University
Fundersnot available
KeywordsActive listeningCLARITYConstruct (python library)AviationCivil aviationTest (biology)PsychologyApplied psychologyAir traffic controlAeronauticsEngineeringComputer scienceCommunication

Abstract

fetched live from OpenAlex

The International Civil Aviation Organization (ICAO) published the Language Proficiency Requirements for pilots and air traffic controllers (ATCOs) in 2003. Research has shown that there is still a lack of clarity regarding what needs to be assessed in terms of the English used by pilots and ATCOs in radiotelephony (DOUGLAS, 2014; EMERY, 2014; KIM; BILLINGTON, 2016; KIM; ELDER, 2015; MONTEIRO, 2019; READ; KNOCH, 2009). The purpose of the present study was to investigate the nature of the listening tasks performed by pilots as an essential step in test development and validation. This explanatory sequential mixed-methods study (CRESWELL, 2015), elicited questionnaire responses from 156 pilots (Phase 1) and subsequently interviewed six aeronautical English experts (Phase 2) to better understand the characteristics of the listening tasks that pilots undertake during radiotelephony communications. Quantitative and qualitative data were analysed, and findings were merged. They provide information that may usefully inform the development of the listening test construct and the test specifications.

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)0.000
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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.764
Threshold uncertainty score0.229

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.083
GPT teacher head0.265
Teacher spread0.182 · 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 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

Citations16
Published2020
Admission routes1
Has abstractyes

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