The emergence of contemporary valley images: a comparison of landscape perceptions of three valleys in north-western British Columbia, Canada
Bibliographic record
Abstract
The Tatshenshini-Alsek, Taku and Stikine River valleys are the three most northerly significant valleys located in northern British Columbia, Canada. They share many commonalities including geographical and landscape features, but there are some significant differences in the way they are widely perceived. In the context of landscape perception theory, I will illuminate what factors have contributed to the emergence of differing images and characterizations of these valleys which underpin the varying landscape perceptions. The creation of BC provincial parks in each valley and their management priorities, the role of environmental activists in efforts to counteract potential environmental disasters, and an increase in recreational activities have resulted in the proliferation of various forms of media contributing to the landscape perceptions commonly held by the public. The Taku and Tatshenshini-Alsek valleys to varying degrees maintain their images of wild and untamed lands upheld by local First Nations, while a portion of the Stikine valley has become known as ‘eye candy’ of the north.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.008 | 0.003 |
| Scholarly communication | 0.006 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".