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Record W800905173

IN FOR THE LONG HAUL : GEMINI AIR CARGO TRIES TO WEATHER THE DOWNTURN AND BE READY TO TAKE ADVANTAGE OF BETTER DAYS AHEAD

2003· article· en· W800905173 on OpenAlexaboutno aff
Sandra Arnoult

Bibliographic record

VenueAir transport world · 2003
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicTransport and Economic Policies
Canadian institutionsnot available
Fundersnot available
KeywordsRevenueFinanceBusinessCommissionQuarter (Canadian coin)Geography
DOInot available

Abstract

fetched live from OpenAlex

This article presents a profile of a two-year-old air cargo company based in Washington-Dulles. Gemini parked one-quarter of its fleet early 2002 after huge drop in cargo traffic. It expects to add some soon. Its troubles reflect problems in entire segment, which had experienced growth of roughly 7% a year traditionally and suddenly experienced drops in range of 10%. Volume is still 15% below what was expected for 2003 before the slump. Asian traffic and West Coast dock strike helped lift 2002 numbers. Growth in Asia is expected to lead the markets with intra-Asia shipments and Chinese expansion key ingredients. Gemini is owned by the secretive Carlyle Group, established in Washington, D.C. in 1987, and thus is part of one of the largest private equity funds in the world. Its private ownership enables Gemini to screen its financial results from regulators such as the Securities and Exchange Commission. But is must file quarterly revenue reports with the DOT. They should it to have posted $160.1 million for 12 months ending June 30, 2002, down from $192.6 million the prior 12-month period. Cutbacks in passenger flights should translate to more opportunities fort specialized cargo carriers like Gemini, though it may be hampered by the small size of the planes in its fleet. As air cargo companies consolidate to better control unit costs, Gemini may be a merger candidate.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.648
Threshold uncertainty score0.984

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 studies0.0000.000
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 head0.017
GPT teacher head0.229
Teacher spread0.212 · 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
Published2003
Admission routes1
Has abstractyes

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