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Record W2300972548

Implementing Safety Management Systems (SMS) in Canada: Is Flight Safety on a Collision Course with the Forced Disclosure of SMS Data?

2015· article· en· W2300972548 on OpenAlexaboutno aff
René David-Cooper

Bibliographic record

VenueIssues in aviation law and policy · 2015
Typearticle
Languageen
FieldHealth Professions
TopicOccupational Health and Safety Research
Canadian institutionsnot available
Fundersnot available
KeywordsSafety management systemsCivil aviationAviation safetyAviationCommercial aviationLegislationSafety cultureBusinessPublic relationsComputer securityEngineeringLawManagement systemOperations managementPolitical scienceManagementComputer scienceEconomics
DOInot available

Abstract

fetched live from OpenAlex

In 2013, the International Civil Aviation Organization (ICAO) adopted Annex 19 to the Chicago Convention, a safety initiative which now requires commercial air carriers around the world to implement Safety Management Systems (SMS). In an effort to further reduce accident rates globally, SMS relies on the voluntary disclosure of safety incidents by airline personnel which should, in theory, allow carriers to proactively respond to organizational safety hazards and prevent accidents. This article identifies the potential legal shortcomings of SMS, with a strong emphasis on Canada’s experience as the first ICAO member State to fully implement Annex 19 across its commercial aviation industry. It examines how SMS data is vulnerable to forced disclosure by Canadian courts, a trend which currently endangers the industry’s Just Culture and will likely hinder the overall success of Annex 19. Drawing on recent Canadian case law, the article explores the legal challenges in protecting SMS information from disclosure in the public domain under access to information legislation or, worse, from being used against a carrier during trial. With airlines alarmed by the possibility of having their flight safety data sacrificed on the altars of litigation, this multidisciplinary analysis will bring forward legal and political solutions to afford confidential treatment to SMS data, which should allow Annex 19 to fully accomplish its theoretical objectives and prevent any setbacks in the current rollout of SMS universally.

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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.752
Threshold uncertainty score0.335

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.071
GPT teacher head0.459
Teacher spread0.387 · 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

Citations1
Published2015
Admission routes1
Has abstractyes

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