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Record W7071850153

United airlines, INC: unprecedented challenge in the global aviation industry: U.S. aviation giant with a competitive EDGE an equity research report on United Airlines (UAL: NYSE)

2021· dissertation· en· W7071850153 on OpenAlexaboutno aff

Bibliographic record

VenueUniversidade Nova de Lisboa's Repository (Universidade Nova de Lisboa) · 2021
Typedissertation
Languageen
FieldEconomics, Econometrics and Finance
TopicAviation Industry Analysis and Trends
Canadian institutionsnot available
Fundersnot available
KeywordsAviationEquity (law)Valuation (finance)Coronavirus disease 2019 (COVID-19)RevenueCompetitive advantageQuarter (Canadian coin)Pandemic
DOInot available

Abstract

fetched live from OpenAlex

This equity research report will first be focusing on the North American Arline industry, focusing afterwards on the long-term impacted caused by the Global pandemic outbreak –Covid-19. A further analysis will then be conducted with regards do United Airlines Inc. (UAL:NYSE), applying the previous research to provide a fair valuation for the group, resulting in an sustained recommendation of whether an investor should consider invest in UAL, or not. With the global pandemic crisis affecting every sector worldwide, the Aviation industry was the one that registered the most severe impact, having most of its fleet grounded since the end of the 1st quarter of 2020. Nonetheless, United was still able to diminish this impact by shifting towards Cargo and maintaining a suitable level of liquidity.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.036
Threshold uncertainty score0.121

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0010.000
Scholarly communication0.0050.002
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0360.009

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 head0.099
GPT teacher head0.340
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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

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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