Highways and lifeways: Highway 11 and the shaping of the ways of life and senses of place of nature-based tourism operators in South-Central Almaguin, Ontario, Canada
Bibliographic record
Abstract
Transportation infrastructure played a vital role in the establishment of the communities in South-Central Almaguin, and the development of this infrastructure continues to shape the landscapes and taskscapes of the region. Nature-based tourism operators are a key stakeholder in the South-Central Almaguin region and are uniquely situated as they rely on transportation infrastructure, the natural landscape, and the local communities for the operation of their businesses. For this qualitative case study I used semi-structured interviews and the collection of news media to explore the impact of the Highway 11 development project on NBT operators. Using Ingold's concepts of landscape, taskscape, and mobility, I sought to understand how the highway changes have shaped the ways of life and senses of place of NBT operators. Through the interviews I identified major shifts in the mobility of travellers and in the organization of the communities of South-Central Almaguin. These shifts resulted in economic changes and loss of business connections for NBT operators, change in travel times and safety, increased regional collaboration, and a drive for a regional destination brand. The implications of these shifts on the ways of life and senses of place of NBT operators were largely positive for destination businesses, while being largely negative for businesses that relied on through-traffic. The nature of the given businesses also determined the impact that the highway changes have had on the place dependence and place identity of the NBT operators, and subsequent changes to place attachment. The results of this research suggest two possible paths forward for the communities of South-Central Almaguin, as communities struggle to sustain themselves in isolation and destination NBT operators push for a regional focus and cooperation. --Leaf ii.
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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 | 0.015 | 0.013 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".