Aboriginal Tourism as Sustainable Social-Environmental Enterprise (SSEE): A Tlingit Case Study from Southeast Alaska
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.010 | 0.003 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".