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Record W2000009229 · doi:10.1080/10889370701666622

The diversity of polar tourism. Some challenges facing the industry in Rovaniemi, Finland

2007· article· en· W2000009229 on OpenAlexaff
Alain A. Grenier

Bibliographic record

VenuePolar Geography · 2007
Typearticle
Languageen
FieldSocial Sciences
TopicArctic and Russian Policy Studies
Canadian institutionsUniversité du Québec à Montréal
Fundersnot available
KeywordsTourismDestinationsEconomic geographyPolarFlourishingDiversity (politics)GeographyRegional scienceEconomyPolitical scienceEconomicsPsychology

Abstract

fetched live from OpenAlex

Abstract Tourism in the Polar Regions is flourishing. Yet, because of a series of geographical and infrastructural barriers, tourism in the Polar and sub-Polar Region is a constant challenge for tourists and operators. Polar destinations also tend to be oriented toward one tourism season only with gaps between the peak and low seasons. While polar destinations are at differing stages of development, Rovaniemi – the capital of Finnish Lapland – stands out as a very important North European tourism centre. However, even with successful tourism operations (in terms of figures – economic and attendances), Rovaniemi still encounters many development challenges. Using previously published literature, field observation and semi-structured interviews with two of Rovaniemi's main operators, this articles aims at identifying and discussing some of the challenges facing the tourism industry in this locality. In the process, the article discusses the difficulty of naming this form of travel. Stressing that tourism in the Polar and sub-Polar Regions has up to now been mostly studied from a geographical perspective, the article emphasises the need for a complementary sociological approach to the study of tourism in the Polar Regions.

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 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 categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.121
Threshold uncertainty score0.999

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 studies0.0020.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.027
GPT teacher head0.284
Teacher spread0.257 · 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 teacher head, not a consensus.

Study designObservational
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

Citations36
Published2007
Admission routes1
Has abstractyes

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