Labor market and natural rate of unemployment in US and Canadian time series analysis
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
Canadian labor market data are being used in this paper. These series are quarterly data from 1980 Q1 to 2000 Q4. This series are stationary by test for cointegration I(0), meaning that there exist equilibrium relationship between the time series labour productivity (prod), employment (e), unemployment rate (U), real wages (rw).This notion was definitively confirmed with VEC model. VEC model shows long run coefficient, and if the system is in disequilibrium , alteration of the variables will only be -0.003 for real wages or -0.3%, -0.001 for unemployment or -0.1%, -0.000 for productivity or -0%,and -0% for employment. This means that Canadian labour market is in equilibrium working at natural rate of unemployment and by equilibrium wages.
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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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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