Factors Affecting Unemployment Rate in Canada and Denmark
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This study investigates the impact of labor force, government expenditure, gross capital formation, foreign direct investment, energy and domestic credit to private sector on unemployment in Canada and Denmark. Annual data is collected from 1980 to 2021 from world development indicator. Johansen Cointegration approach is used to identify the relationship between dependent and independent variables. The results show that labor force and government expenditure positively and significantly impact unemployment in long run in the case of Canada. While the gross capital formation, energy and domestic credit to private sector have negative but significant impact on unemployment. In short run labor force, GCF, energy and domestic credit to private sector has positive and significant impact on unemployment. On the other hand, in the case of Denmark, labor force and government expenditure have positive and significant impact on unemployment. Whereas gross capital formation, energy, FDI and domestic credit to private sector have significant and negative impact on unemployment while in short run FDI shows negative and significant impact on unemployment.
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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 | 0.001 | 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 | 0.000 |
| 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 it