Trend-cycle Approach to Estimate Changes in Southern Canada’s Water Yield /Un enfoque de ciclo-tendencia para estimar los cambios en el rendimiento del agua en Canadá
Bibliographic record
Abstract
Quantifying how Canada’s water yield has changed over time is an important component of the water accounts maintained by Statistics Canada. This study evaluates the movement in the series of annual water yield estimates for Southern Canada from 1971 to 2004. We estimated the movement in the series using a trend-cycle approach and found that water yield for Southern Canada has generally decreased over the period of observation. La cuantificación de cómo ha evolucionado en el tiempo el rendimiento del agua en Canadá es un aspecto muy importante de la contabilidad del agua llevada a cabo por el Instituto de Estadística canadiense. Este artículo analiza los cambios en la serie de estimaciones del rendimiento anual de agua en el sur de Canadá desde 1971 hasta 2004. Así, estimamos los cambios en la serie mediante un enfoque de ciclo-tendencia, concluyendo que el rendimiento de agua en el sur de Canadá ha disminuido a lo largo del período estudiado.
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How this classification was reachedexpand
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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".