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Record W3121243597

Integración vertical: El caso de la explotación de aeropuertos

2006· article· en· W3121243597 on OpenAlexaff
Marcos Gallacher, Alfredo Sesé

Bibliographic record

VenueEconstor (Econstor) · 2006
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicAviation Industry Analysis and Trends
Canadian institutionsCumulative Environmental Management Association
Fundersnot available
KeywordsGeologyHumanitiesPhilosophy
DOInot available

Abstract

fetched live from OpenAlex

The provision of airport services results in a web of contractual relationships between the main contractor and other firms. The existence of multiple services offered in airports allows several contractual alternatives to be chosen. In particular, the main contractor may choose to carry out these under his own management (vertical integration) or alternatively transfer them so they are under the control of another firm (dis-integration). The advantages of either alternatives depends on a host of factors. This paper analyzes the impact on vertical integration of: (a) difficulties in controlling labor and (b) the need for specialized knowledge on specific business processes. The paper shows that, in general, the decision to integrate a process is inversely related to the above two factors. The paper also analyzes the relevance of dis-integration as a tool for the reduction of business risks. We find that – for this industry – decisions relative to dis-integration do not appear to be justified as a tool for managing risks (income variability) of the firm.

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)0.002
metaresearch head score (Gemma)0.005
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.012
Threshold uncertainty score0.038

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0020.002
Scholarly communication0.0040.004
Open science0.0010.003
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0110.001

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 head0.018
GPT teacher head0.242
Teacher spread0.224 · 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
Published2006
Admission routes1
Has abstractyes

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