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Aeropuerto Arturo Merino Benítez, Santiago de Chile

2018· article· es· W2911154658 on OpenAlex
Palabras Clave, Transporte Terminal, Luis Vidal, A Adpi, Gentileza Mop, Stanis Smith

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueARQ · 2018
Typearticle
Languagees
FieldSocial Sciences
TopicGalician and Iberian cultural studies
Canadian institutionsStantec (Canada)
Fundersnot available
KeywordsHumanitiesArt

Abstract

fetched live from OpenAlex

espanolPese al declive de los discursos como el marketing urbano o la arquitectura espectaculo, las grandes infraestructuras de transporte siguen siendo una necesidad para las ciudades que quieren participar de la economia global. Asi, no es casual que el nuevo aeropuerto de Santiago sea el edificio en construccion mas grande de Chile. Pero su tamano no solo tiene que ver con la cantidad de pasajeros que recibira, sino tambien con la escala de sus principales usuarios: las aeronaves. EnglishDespite the failure of discourses such as ‘urban branding’ or ‘spectacle architecture,’ huge transport infrastructures are still a necessity for cities eager to participate in the global economy. Thus, it is no coincidence that the new Santiago airport is the largest building under construction in Chile. But its size not only has to do with the number of passengers it will receive but also with the scale of its main users: the aircraft.

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.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.423
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.003

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 head0.021
GPT teacher head0.320
Teacher spread0.299 · 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