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Record W2168561429 · doi:10.1080/02513625.2015.1093344

Designed for Touring: Niagara Falls, Canada

2015· article· en· W2168561429 on OpenAlexaboutno aff
Ian Ellingham, Helen Mulligan

Bibliographic record

VenuedisP - The Planning Review · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicDiverse Aspects of Tourism Research
Canadian institutionsnot available
Fundersnot available
KeywordsVisitor patternAppealStewardship (theology)TourismExploitPopulationGovernment (linguistics)Resource (disambiguation)BusinessMarketingGeographyPublic relationsAdvertisingPolitical scienceSociologyArchaeologyComputer securityComputer science

Abstract

fetched live from OpenAlex

The Niagara area of Canada has been a tourist destination for over two hundred years, and has successfully evolved to address changing expectations by adding additional attractions to the fundamental resource of the Falls themselves. In contrast to its American neighbour, its population continues to grow, due to an ability to attract new residents and create new business opportunities. Today Niagara offers opportunities for almost every type of visitor, including the most enthusiastic ecotourist, the historian, thrill-seeking teens and families simply looking to entertain or divert their small children. As a destination it has survived ongoing change, in part due to government initiatives and stewardship of some of the fundamental resources, combined with the ability of the private sector to exploit them. A short explanatory tour given by a long-term resident will take the visitor to just a few of the many attractions, and will help to demonstrate why Niagara retains its appeal as a place that everyone has to visit – at least once.

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: none
Teacher disagreement score0.069
Threshold uncertainty score0.232

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0040.000
Scholarly communication0.0030.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0690.008

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 head0.140
GPT teacher head0.400
Teacher spread0.260 · 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

Citations1
Published2015
Admission routes1
Has abstractyes

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Same venuedisP - The Planning ReviewSame topicDiverse Aspects of Tourism ResearchFrench-language works237,207