Research on Formation of Kondratiev Сycles in Canadian Economy
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
This work is devoted to analysis of the formation of Kondratiev cycles in 1870– 2008.The study aims to obtain data about the possible formation of long cycles on the basis of spectral analysis of deviations from the trend of the time series of real GDP per capita. The study notes that the Kondratiev cycles had gainedthe greatest power by the early twentieth century. This is most clearly seen in the 1930s. Later during the study, we found that the power of the Kondratiev cycles is waning and becomes minimal by 1960. All the decreasingsegments of Kondratiev cycles do no exhibitneither bursts of power, nor any short-term increases in capacity. This study suggests that in the Canadian economy, the change of technological orders by the end of the twentieth century was notshaped in accordance with the time frame outlined by the Kondratiev cycles. For example, cycles with a period of 33,3 years had the most power,which may indicate that by the end of the twentieth century a change in technological structure has a shorter time framefor developed countries.
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 | 0.008 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.002 |
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