Demographics and social values as drivers of change in the Canadian boreal zone<sup>1</sup>
Bibliographic record
Abstract
The boreal zone, a vast region with abundant natural resources and related industries, has both provisioning and nonprovisioning ecosystem services that draw some people, while warding off others. It is an area that arguably affects many Canadians in different ways and represents a wide range of tangible and intangible values. Changes in demographic patterns over time shed light on the development of the social-ecological landscape of the boreal zone, and elucidate potential changes in the future. Using past and current demographic data, we explore population size, immigration and emigration, and birth and death rates within and outside the boreal zone. We also explore links between demographics, social values, and important factors of change in the boreal zone, and present three contrasting scenarios predicting the state of this zone in 2050. We pay particular attention to the Indigenous population, generational differences, international immigration, and the urban–rural divide. Fertility rates and immigration influence population demographics within and outside the boreal zone, respectively, alluding to potential divergences in social values and between communities located within and outside the boreal zone. The boreal zone is currently comprised of many smaller towns and communities scattered across the landscape, yet it is equally important to consider the influences of larger cities located outside the boreal zone, particularly in terms of governance, population movements, and political power. Considered together, these factors provide insight on social cohesion and connectedness, demand for goods and services, and changes in boreal-centric activities.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.007 | 0.002 |
| Scholarly communication | 0.003 | 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".