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Record W2395144557 · doi:10.18584/iipj.2015.6.4.8

Aboriginal Tourism as Sustainable Social-Environmental Enterprise (SSEE): A Tlingit Case Study from Southeast Alaska

2015· article· en· W2395144557 on OpenAlexvenueno aff
Paphaphit Wanasuk, Thomas F. Thornton

Bibliographic record

VenueInternational Indigenous Policy Journal · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicArctic and Russian Policy Studies
Canadian institutionsnot available
Fundersnot available
KeywordsTourismSustainabilityPoliticsSustainable tourismMultinational corporationBusinessEnvironmental resource managementSustainable developmentLivelihoodIndigenousEnvironmental planningPolitical scienceGeographyAgricultureEconomicsEcology

Abstract

fetched live from OpenAlex

The Tlingit Aboriginal tourism enterprise named Icy Strait Point in Hoonah, Southeast Alaska is used as a case study to develop the new concept of Sustainable Social-Environmental Enterprise (SSEE). SSEE is defined as an innovative enterprise that has dynamic operational strategies while still maintaining its corporate core values and integrating social, environmental, cultural, economic and political (SECEP) sustainabilities in its operations. The SSEE framework assesses enterprises according to five domains of sustainability: social, environmental, cultural, economic, and political. Applying this framework, we find that while social, economic, and cultural sustainability goals have been achieved in a relatively short time by the Aboriginal tourism enterprise in Hoonah, the political and environmental spheres of sustainability are constrained by the dominant influence of the multinational cruise ship industry over tourism development. Thus, for an emerging tourism enterprise to be sustainable, we suggest each of these livelihood dimensions needs to achieve "a safe operating space" that is adaptable over time and to changing social and environmental circumstances.

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)0.001
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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.131
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0030.000
Scholarly communication0.0010.000
Open science0.0010.000
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 head0.021
GPT teacher head0.362
Teacher spread0.341 · 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 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

Citations5
Published2015
Admission routes1
Has abstractyes

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