Perspectives on the Social, Economic and Environmental Impacts of All-season Roads in Two Remote First Nation Communities in Northern Ontario
Bibliographic record
Abstract
Remote Indigenous communities face a number of challenges associated with \naccessibility. The development of all-season road corridors promises to solve some of \nthese problems. However, changes to transportation can create many challenges. \nSurveys and interviews conducted in two remote First Nations communities and \nreported in this thesis reveal that community members are aware that both potential \nharms and benefits from all-season roads will alter the communities? social wellbeing. \nConcerns about negative potential impacts from all-season roads are triggered by past \nexperiences and history. Fear may slow down progress of development in the Far North. \nThese fears are associated with changes in the community and its surrounding landscape \nincluding accessibility to drugs and alcohol, destruction of the land and disrespect from \nnon-Indigenous people. While First Nation participants acknowledge that all-season \nroads and increased access can produce or worsen negative impacts, they perceive the \npositive outcomes, such as employment and community-to-community interaction, to be \nworth the risks associated with all-season roads.
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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 | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".