A spatial analysis of tourism development on Hecla Island in relation to key environmental components
Bibliographic record
Abstract
This study was initiated to trace development of tourism on Hecla Island. The focus was to first discuss the role of tourism within Hecla's environment, including the positive and negative impacts. The research also characterized past development on Hecla Island by documenting and quantifying the land affected by these developments. This provided essential information that can be used to assess the quality of land within these areas in order that appropriate decisions can be made on location of future developments. Secondly, an analysis was undertaken to map key environmental components on Hecla Island, including moose and waterfowl habitats, colonial nesting bird sites, significant cultural sites, unique plants and vegetation, and the soil and recreation suitability of the area. This included determining the potential consequences of tourism development on the key environmental components on Hecla Island. The final step was to spatially illustrate areas where future tourism development should be expanded by considering the degree of impact that tourism development and associated activities have on the key environmental components on Hecla Island. (Abstract shortened by UMI.)
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".