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Record W7139476286

Session 4: Aviation Security & Disruptive Passengers

2021· article· W7139476286 on OpenAlexaboutno aff
Jae Woon (June) Lee, Fred Stein, Bernard Jit Heng Lim, Brian Kinane

Bibliographic record

VenueScholarly Commons (Embry–Riddle Aeronautical University) · 2021
Typearticle
Language
FieldSocial Sciences
TopicInternational Law and Aviation
Canadian institutionsnot available
Fundersnot available
KeywordsSession (web analytics)Airport securityChristian ministryAviationMinistry of Transport
DOInot available

Abstract

fetched live from OpenAlex

Session includes: 1500 – 1515 The Montreal Protocol of 2014 dealing with disruptive passengers by Dr Jae Woon (June) Lee, Assistant Professor, Faculty of Law, The Chinese University of Hong Kong 1515 – 1530 TSA - Disruptive Individuals at the Checkpoint by Fred Stein, Transportation Security Administration Representative (TSAR) 1530 – 1545 Aviation Security by Bernard Lim, Senior Director, International Relations and Security, Ministry of Transport (Aviation Security & COVID-19) 1545 – 1600 Disruptive Behaviour by Brian Kinane, Manager Security Training, Emirates

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Insufficient payload (model declined to judge)
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 score0.928
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.002
Science and technology studies0.0030.001
Scholarly communication0.0010.006
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.001

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 head0.022
GPT teacher head0.263
Teacher spread0.241 · 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 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

Citations0
Published2021
Admission routes1
Has abstractyes

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