The Economic and Social Contribution of the Public Sector to Rural Saskatchewan
Bibliographic record
Abstract
As the economic and social landscape of rural Saskatchewan continues to change, the capacity of rural communities to remain viable is tenuous. Employment opportunities are a significant determinant of the economic viability of rural areas. In Saskatchewan, the public sector is an important component of the labour force, representing an estimated 23% of employment, with approximately 46% of those employment opportunities occurring in rural and northern areas. This represents more than 55,000 jobs with a further 21,762 jobs estimated as indirect employment supported by the public sector work. The estimated economic impact generated by these rural and northern jobs is represented by the direct public sector earnings of $1,856 million and a further $823 million in indirect expenditure generated from these earnings. The public sector also tends to employ highly skilled individuals and provides well-paying jobs. This is especially important for rural women as there are often fewer high waged opportunities for women in rural areas. In addition to economic benefits, these public sector employees bring skills and networks that generate economic and social benefits for the communities and rural areas where they live and work. As services consolidate in larger centres rural communities continue to lose public facilities and the economic and social benefits generated by those who were employed there. Public sector employees contribute not only to the economic viability but also to the social capacity of their communities through their important roles as volunteers, often in leadership positions. To assess the economic and social impact of the public sector on rural communities, an analysis of the economic impacts of public sector employment and a survey of public sector employees in two Saskatchewan communities were undertaken. This research reports on the economic and social benefits that public sector employment brings to rural Saskatchewan.
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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 | 0.002 | 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 | 0.003 | 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".