Routes and roots: factors that drive labour mobility in Newfoundland and Labrador, Canada
Bibliographic record
Abstract
In theory and practice, it has been noted that the length of daily commutes range from under 15 minutes to over one hour each way, often involving distances greater than 50 km. Both rural and urban residents make the decision to engage in extended daily commutes rather than relocate closer to their place of work. Using the Newfoundland and Labrador nickel processing sector as a case study, this paper identifies the factors that influence them to commute extended periods on a daily basis, including economic considerations, amenities, sense of belonging, and the nature of the commute. Mobile workers are more inclined to travel greater distances for work if the salary is an improvement from their current employment and if there are no opportunities available for work for their spouse. Further, an individual’s source community, or the community where they permanent reside, provides greater accessibility to location-based capital while off work. These factors influence the worker to engage in extended daily commuting despite the stress and the longer workdays associated with labour mobility.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| 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".