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Record W4213124492 · doi:10.1111/1467-9655.12038

Verticality

2013· article· en· W4213124492 on OpenAlexaff
Kevin Lewis O’Neill, Benjamin Fogarty‐Valenzuela

Bibliographic record

VenueJournal of the Royal Anthropological Institute · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicPolitical Economy and Marxism
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsSkylineUrban spaceCapital (architecture)Lift (data mining)PoliticsCapital cityPublic spaceHistoryHospitalityEconomic geographySociologyPolitical scienceEconomyGeographyTourismArchaeologyLawEngineeringArchitectural engineeringEconomics

Abstract

fetched live from OpenAlex

Anthropological critiques of urban segregation tend to maintain a horizontal frame. Walls and gates keep undesirable people over there as opposed to here. Insightful as this approach has been, this article pairs everyday perspectives with the built form to assess the politics of vertical segregation in G uatemala City. With more than one hundred office towers and condominium complexes constructed in the last decade, G uatemala City presents a vivid and visually stunning example of how the rich lift themselves above the rest. This article argues that vertical segregation is yet one more strategy employed by elites to abandon public space. G uatemala City sprouted a skyline in little less than a decade. Although the city was low level for centuries, kept at one or two storeys by earthquakes, a recent surge in foreign investment has prompted the construction of more than one hundred new office towers and condominium complexes over the last ten years. Each is over ten storeys. Each is exclusive. Given that most capital cities across the Americas went vertical in the early twentieth century, G uatemala C ity's newfound height presents an opportunity to consider the ‘verticality’ of urban segregation.

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)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.009
Threshold uncertainty score0.040

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0060.029
Scholarly communication0.0050.004
Open science0.0010.006
Research integrity0.0010.003
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 head0.037
GPT teacher head0.319
Teacher spread0.283 · 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 designTheoretical or conceptual
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

Citations30
Published2013
Admission routes1
Has abstractyes

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