MétaCan
Menu
Back to cohort

Big Ships, Small Towns: Understanding Cruise Port Development in Falmouth, Jamaica

2015· article· en· W2079492417 on OpenAlex

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.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueTourism in Marine Environments · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicCruise Tourism Development and Management
Canadian institutionsnot available
FundersUniversity of Waterloo
KeywordsCruisePort (circuit theory)AllianceGeneral partnershipPolitical scienceSociologyEngineeringLaw

Abstract

fetched live from OpenAlex

Cruise ships and associated developments are topics of growing scholarly and public interest. It is increasingly important to understand how these developments affect the local community. The Historic Port of Falmouth was developed through a partnership between Royal Caribbean and the Port Authority of Jamaica in 2011 and is the largest purpose-built port of call in the Caribbean. The purpose of this qualitative case study was to understand the impacts of the new development in Falmouth, Jamaica from the perspective of those who live there. Three subthemes emanating from data analysis are: big promises, big disappointments; access denied; and all is not lost at sea. After presenting these themes, we introduce the overarching theme of “big ships, big bubble” and further develop Weaver's notion of “containment” as a way to capture the mix of powerlessness and hopefulness as it was expressed by members of this community.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.632
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.110
GPT teacher head0.273
Teacher spread0.163 · 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