New Economic Cycle in Northern Periphery: A Reading of the First Decade
Bibliographic record
Abstract
Within the vast northern periphery of Quebec, the annual capital almost doubled over the 2000s. This impulse of a new cycle of growth coincides with a slowdown in job creation. Such effects on the mode of development is part of a multi-dimensional and transitional movement within global peripheries requested to supply, of their raw materials, high urbanization in emerging economies. For this purpose in Quebec, the Nordic economic sectors of construction, extraction, processing, and services react differently during the observed period. According to our analysis, four elements are added to the difficulties of the forest industry to explain the disappointing conclusion about Nordic employment, namely: the technological intensification, the importation of equipment and materials, the commuting workers (fly in - fly out), and the low attractiveness of the manufacturing sector. Our reading leads us to propose two avenues for reflection on real territorial development.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.005 | 0.004 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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".