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Record W2586122740

The Intangible Impacts of Tourism: The Battle Harbour National Historic District as a Tourism Anchor

2014· article· en· W2586122740 on OpenAlexaffabout
Mark C. J. Stoddart, Howard Ramos, David Chafe

Bibliographic record

VenueMemorial University Research Repository (Memorial University) · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicDiverse Aspects of Tourism Research
Canadian institutionsMemorial University of Newfoundland
Fundersnot available
KeywordsTourismHarbourBattleGeographyFishingEconomic impact analysisFisheryEconomyArchaeologyEngineering
DOInot available

Abstract

fetched live from OpenAlex

The moratorium on cod fishing in Newfoundland and Labrador in 1992 drastically altered the province’s economy, with an increasing focus on tourism in communities most directly impacted by the shutdown of the fishery. Though tourism development has been ongoing for \nmore than twenty years, residents’ perceptions of the social and cultural impacts of tourism development on communities have not been widely examined in this province. This project focuses on the Battle Harbour National Historic District (BHHD), located in the Labrador Straits region, as a specific case study of the social and cultural impacts of the shift towards preserving regional history and culture, and promoting those traits to the rest of the world. In this report, we \nprovide an analysis of telephone surveys with participants in Mary’s Harbour, St. Lewis and Lodge Bay, which are the closest communities to the BHHD. We also report on field research at the BHHD. The results allow us to more clearly understand the social impacts of tourism on residents, tourists and the region as a whole.

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)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.616
Threshold uncertainty score0.763

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.002
Scholarly communication0.0020.001
Open science0.0000.002
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.028
GPT teacher head0.292
Teacher spread0.264 · 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 designQualitative
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

Citations0
Published2014
Admission routes2
Has abstractyes

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