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Record W4385403650 · doi:10.24043/001c.84785

Island Modernity: Jamaican Urbanism and Architecture, Kingston, 1960-1980

2017· article· en· W4385403650 on OpenAlexvenueno aff
Elizabeth Pigou-Dennis

Bibliographic record

VenueIsland Studies Journal · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicCaribbean history, culture, and politics
Canadian institutionsnot available
Fundersnot available
KeywordsModernityModernization theoryMainlandUrbanismHistoryArchitectureSociologyGeographyArchaeologyPolitical science

Abstract

fetched live from OpenAlex

This paper explores peripheral modernity in the island of Jamaica. Jamaica’s self-perception of being an island, as evidenced in texts and imagery, is not one that is peripheral, bounded, limited, small, or isolated. The trope of islandness, of interest to travellers and tourists, has been expressed both visually and textually, but it centers on being a tropical location as opposed to islandness per se. Although there has been a practical, literary and visual connection with the sea, the sea has not been portrayed as a separator but rather as a conduit and connector, no different from a continental coast. The process of modernization of Kingston, the island’s capital and main port city, strongly reflects this ‘un-islanded’ or ‘continental’ self-perception, challenging the notion of peripheral modernity. Kingston was not imagined as a periphery at all by those who embraced and implemented the modernization project. This was so even while Kingston’s hinterland, during the period under study (1960-1980), was largely rural, under-developed and poor. Kingston’s geographical position, as a mainland port on a relatively large island, by Caribbean standards, facilitated the imagining and implementing of modernity following continental models. These arguments are built on an examination of the separate but interconnected ideas and practices of architect Wilson Chong, and the architectural firm Shankland Cox, using technical reports and periodical articles as primary sources.

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 categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.683
Threshold uncertainty score0.995

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 studies0.0060.001
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.048
GPT teacher head0.337
Teacher spread0.289 · 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 teacher head, not a consensus.

Study designNot applicable
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

Citations10
Published2017
Admission routes1
Has abstractyes

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