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Record W2476943730 · doi:10.1057/9781137023131_10

Saint-Martin/Sint Maarten

2013· book-chapter· en· W2476943730 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.

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

Bibliographic record

VenuePalgrave Macmillan UK eBooks · 2013
Typebook-chapter
Languageen
FieldSocial Sciences
TopicCruise Tourism Development and Management
Canadian institutionsUniversity of Prince Edward Island
Fundersnot available
KeywordsTourismGeographyDestinationsPopulationSAINTGlobalizationEconomyScale (ratio)Economic geographyPolitical scienceDevelopment economicsSociologyHistoryDemographyCartographyEconomicsArchaeologyArt history

Abstract

fetched live from OpenAlex

St. Martin is the world’s smallest inhabited island shared by two states. With an open border, a tempestuous economic and demographic growth, a mixed population of more than 100 nationalities, large-scale migratory movements and an economy that is much dependent on international dynamics, it is a microcosm of globalisation. As one of the most popular tourist destinations in the Caribbean, it is a place where migrants from some of the poorest countries work, and also one where some of the richest people anchor their yachts. The local population, which has been reduced to some 20 per cent of the total population on both sides of the island, meanwhile struggles to preserve its identity.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.492
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0140.006

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 head0.024
GPT teacher head0.252
Teacher spread0.228 · 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