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Record W1678143752 · doi:10.3917/flux.092.0006

Impacts de la libéralisation sur les aéroports nationaux en Suisse : comparaison des cas de Genève et Zurich

2013· article· fr· W1678143752 on OpenAlexaff
Patrick Csikos, Frédéric Varone

Bibliographic record

VenueFlux · 2013
Typearticle
Languagefr
FieldEconomics, Econometrics and Finance
TopicAviation Industry Analysis and Trends
Canadian institutionsInstitut National de la Recherche Scientifique
Fundersnot available
KeywordsPolitical scienceHumanitiesPhilosophy

Abstract

fetched live from OpenAlex

Cet article consiste en une analyse des effets des politiques de libéralisation du secteur aérien sur les deux aéroports suisses de Zurich et Genève. Après avoir identifié les principales transformations dans l’organisation du secteur aérien dans les phases précédentes et succédant à la libéralisation nationale du secteur (1998) et avec l’Union européenne (2002), nous comparons les stratégies de développement des deux infrastructures à l’aide de quatre variables : la diversification fonctionnelle, la dépendance des aéroports aux opérateurs, l’insertion territoriale et la structure capitalistique. Les résultats montrent deux trajectoires diamétralement opposées, avec cependant, même dans un contexte libéralisé, une tendance lourde à l’émergence ou la résurgence d’un opérateur aérien dominant sur un aéroport, qu’il soit ou non exploité sous forme de hub.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.077
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0090.001

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 head0.046
GPT teacher head0.281
Teacher spread0.235 · 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; both teacher heads agree on what is shown here.

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

Citations4
Published2013
Admission routes1
Has abstractyes

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