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Record W2147490014 · doi:10.7202/1009278ar

Le marché des transporteurs aériens canadiens : une étude clinique en organisation industrielle

2012· article· fr· W2147490014 on OpenAlexaffvenueabout
Kodjovi Assoé, M. Martin Boyer

Bibliographic record

VenueL Actualité économique · 2012
Typearticle
Languagefr
FieldEconomics, Econometrics and Finance
TopicAviation Industry Analysis and Trends
Canadian institutionsHEC Montréal
Fundersnot available
KeywordsHumanitiesPolitical scienceConcurrencePhilosophyPhysics

Abstract

fetched live from OpenAlex

Très peu d’études cliniques existent en économie, et encore moins sur l’économie canadienne. Nous proposons ainsi une étude clinique qui s’utiliserait dans le contexte d’un cours avancé en organisation industrielle, et plus particulièrement dans le cadre d’une série de séances de cours sur la concurrence à la Cournot, à la Bertrand et à la Stackelberg. Nous utilisons la faillite du transporteur aérien Jetsgo en 2005 pour regarder l’impact à court terme sur la valeur marchande des deux autres transporteurs aériens au Canada, Air Canada et Westjet. La présente étude clinique permet de prendre en considération la structure du marché du transport aérien de passagers au Canada pour expliquer la réaction du marché boursier. L’étude développe des modèles économiques simples de concurrence à la Nash-Cournot et à la Stackelberg pour voir lequel explique le mieux le marché intérieur canadien du transport aérien suite à la disparition d’un joueur important.

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)0.004
metaresearch head score (Gemma)0.019
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.772
Threshold uncertainty score0.454

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.019
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.006
Science and technology studies0.0010.003
Scholarly communication0.0060.003
Open science0.0010.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0070.001

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 head0.068
GPT teacher head0.241
Teacher spread0.173 · 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 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
Published2012
Admission routes3
Has abstractyes

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Same venueL Actualité économiqueSame topicAviation Industry Analysis and TrendsFrench-language works237,207