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Record W2030458677 · doi:10.5367/000000007779784524

Resorts, Culture, and Music: The Cape Breton Tourism Cluster

2007· article· en· W2030458677 on OpenAlex
Keith G. Brown, Ruthanne Geddes

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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueTourism Economics · 2007
Typearticle
Languageen
FieldSocial Sciences
TopicDiverse Aspects of Tourism Research
Canadian institutionsCape Breton University
Fundersnot available
KeywordsTourismNova scotiaCapeCluster developmentInvestment (military)Government (linguistics)Economic geographyBusinessCluster (spacecraft)Economic growthEconomyScale (ratio)GeographyPolitical scienceEconomicsArchaeology

Abstract

fetched live from OpenAlex

Cape Breton, Nova Scotia, Canada saw rapid growth in heavy industry at the turn of the 20th century. The industries were in severe decline by the 1960s. To stabilize economic shrinkage as a result of job losses in coal and steel, the federal government, through two Crown corporations, developed strategies to create a fully stratified tourism cluster. The research examines the growth of the tourism cluster in Cape Breton, noting early investments in infrastructure, large-scale programmes to attract private investment, recognition of the role of cultural tourism and the development of a segmented marketing programme.

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)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.305
Threshold uncertainty score0.780

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
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 science0.0010.000
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 head0.025
GPT teacher head0.290
Teacher spread0.265 · 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