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Record W2588729172 · doi:10.54648/aila2016036

Airline Alliances: Justifying the Bureaus Intervention

2016· article· en· W2588729172 on OpenAlexaboutno aff
Ashley Taborda

Bibliographic record

VenueAir and Space Law · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Policy and Governance
Canadian institutionsnot available
Fundersnot available
KeywordsCompetition (biology)Context (archaeology)ProtectionismIntervention (counseling)BusinessMultitudeInternational tradePolitical scienceLaw

Abstract

fetched live from OpenAlex

In Airline Alliances: Justifying the Bureau’s Intervention, the Canadian Competition Bureau’s 2011 challenge of the proposed joint venture between Air Canada and United Continental Holdings is analysed from a Competition Law perspective, through the lens of the nuanced environment in which airlines operate in Canada. Despite the multitude of arguments supporting the pro-competitive effects of airline alliances, particularly with regards to airlines operating in the United States, Europe and Australia, this paper concludes that airline alliances are not necessarily pro-competitive within the Canadian context. Although airline alliances are theoretically well-aligned with the purposes of the Canadian Competition Act, the markets in which such alliances are permitted to operate must contain mechanisms to constrain the excessive use of market power. With current Canadian policies fostering protectionism, the Competition Bureau is arguably justified in taking a more aggressive approach with regards to airline alliances than its global peers.

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)0.015
metaresearch head score (Gemma)0.032
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.516
Threshold uncertainty score0.962

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0150.032
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0140.032
Scholarly communication0.0130.006
Open science0.0030.008
Research integrity0.0200.013
Insufficient payload (model declined to judge)0.0080.001

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 head0.023
GPT teacher head0.305
Teacher spread0.282 · 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
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

Citations1
Published2016
Admission routes1
Has abstractyes

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