Persistence of Unemployment in the Canadian Provinces
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
The authors analyze the degree of persistence of the unemployment rates of the ten Canadian provinces using quarterly data for the period 1976:1–2005:4. They apply a two-break minimum Lagrange Multiplier (LM) unit root statistic, which, unlike standard unit root statistics (without or with breaks), makes it possible to find the stationarity of the different unemployment rates, giving support to the theory of the natural rate. The authors use the methodology of Bai and Perron (1998, 2003) to estimate a linear model with multiple structural changes to estimate the different degrees of persistence over the different regimes. The results suggest that the degree of persistence decreases when multiple breaks are allowed. Issues regarding the Canadian labor market, the insurance benefits program, interprovincial transfers, and interprovincial mobility are discussed as potential explanations for the results.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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