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Record W639623312

North American Review: Congestion Charging, Delayed Funding Approval, Security, Passenger Processing and the Environment...

2008· article· en· W639623312 on OpenAlexaboutno aff
Carroll McCormick

Bibliographic record

VenueAirports international · 2008
Typearticle
Languageen
FieldSocial Sciences
TopicInternational Law and Aviation
Canadian institutionsnot available
Fundersnot available
KeywordsAviationSubsidyBusinessFinanceTransport engineeringEngineeringEconomics
DOInot available

Abstract

fetched live from OpenAlex

A March 2008 review of the last 12 months of the North American aviation industry covers developments in traffic growth, security, passenger-friendly technology and environmentally friendly policies at facilities in the U.S. and Canada. In the U.S., 14 of the 35 largest airports are capacity-constrained, and the Federal Aviation Administration (FAA) is proposing various remedies, including temporary limitations on operations at JFK International and congestion charging. New York airport delays are thought to account for as many as one-third of the holdups in the U.S. National Air Space (NAS). The FAA Reauthorization Bill has still not been passed by the Senate, delaying a hike in Passenger Facility Charges. It has also postponed a pilot program to privatize 15 airports. The Registered Traveler (RT) program has expanded, and new companies are joining the business of offering pre-screening and approval for passengers wishing to avoid security lines. Issues remain with competence of screening techniques and hiring policies regarding non-citizen workers. In Canada, the strength of the Canadian currency has heightened Canadian airports’ concerns over loss of competitiveness with U.S. facilities. They also point to continued subsidies for the rail system, despite its carrying many fewer passengers. NEXUS cards are gaining in use, which allow the bearer to cross between the U.S. and Canada without a passport. Most holders are Canadians. Additional information is given on environmental programs, with special data on efforts at Calgary International and Seattle-Tacoma.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.750
Threshold uncertainty score0.475

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 studies0.0010.001
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 head0.017
GPT teacher head0.276
Teacher spread0.259 · 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 designNot applicable
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
Published2008
Admission routes1
Has abstractyes

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