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Record W6980675447

Comparative study of civil aviation de-licensing regimes in New Zealand, Australia and Canada

2014· article· en· W6980675447 on OpenAlexaboutno aff

Bibliographic record

VenueResearchArchive–Te Puna Rangahau (Victoria University of Wellington) · 2014
Typearticle
Languageen
FieldPsychology
TopicMental Health Research Topics
Canadian institutionsnot available
Fundersnot available
KeywordsCivil aviationAppealAviationAviation lawTribunalOrder (exchange)Aviation engineeringProcess (computing)
DOInot available

Abstract

fetched live from OpenAlex

This paper looks at the civil aviation law for New Zealand, Australia, the USA and Canada in regards to the ‘de-licensing’ of participants in the aviation system. The comparative analysis is on each country’s ability to take administrative action against an aviation participant on an ‘on notice’ basis and, in cases where there is an imminent threat to aviation safety, on a ‘without notice’ basis. Issues looked at include:\n\n(a) The process the regulator must adhere to in bringing administrative action.\n(b) The appeal or review rights available to the aviation participant.\n(c) The availability of a stay to the aviation participant while he or she waits a full hearing.\n(d) The availability of a specialist tribunal with aviation expertise to hear an appeal.\n\nThe issues are examined in order to determine what, if any, improvements could be made to the New Zealand system. The paper concludes that the New Zealand system could be improved by providing for a more streamlined appeal or review process; a unified transport tribunal dealing with land transport, maritime and civil cases and an ability, in limited circumstances, for the Director's decision to be stayed pending a full hearing.

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)0.001
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 score0.144
Threshold uncertainty score0.809

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 integrity0.0000.001
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 head0.057
GPT teacher head0.347
Teacher spread0.290 · 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

Citations0
Published2014
Admission routes1
Has abstractyes

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