The role of the interprovincial transfers in the <i>β</i>‐convergence process
Why this work is in the frame
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Bibliographic record
Abstract
Purpose Based on the approach of Timljonavich and Vogelsang, the purpose of this paper is to present empirical evidence of the role of the federal transfers on the β ‐convergence process in Canadian provinces. Design/methodology/approach The paper uses information on annual personal income for the period 1926‐1999 to present empirical evidence about the notion of β ‐convergence for the ten Canadian provinces. Findings The principal conclusion is that the inter‐provincial transfers were not determinant or decisive to the attainment of deterministic convergence in the Canadian provinces. Originality/value While the issue of convergence has been analyzed especially using cross‐sectional data or panel data, this paper uses a time‐series methodology with statistics recently proposed by Vogelsang and Bunzel, which are robust to the presence of I (0) or I (1) disturbances.
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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 | 0.002 | 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