Exact prediction of inflation and unemployment in Canada
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
Potential links between inflation and unemployment in Canada have been examined. No consistent Phillips curve has been found likely due to strong changes in monetary policy of the Bank of Canada. However, there were two distinct periods where linear links between inflation and unemployment could exist - before 1983 and after 1983. A linear and lagged relationship between inflation, unemployment and labor force has been obtained for Canada. Similar relationships were reported previously for the USA, Japan, France and Austria. Changes in labor force level are simultaneously reflected in unemployment and lead inflation by two years. Therefore this generalized relationship provides a two-year ahead natural prediction of inflation based on current estimates of labor force level and unemployment rate. The goodness-of-fit for the relationship is of 0.7 for the period since 1965, i.e. including the periods of high inflation and disinflation.
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 | 0.000 | 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