Cyclical Fluctuations in the Banking Services Market and the Changes in the Situation of Entities from the Financial Services Sector
Bibliographic record
Abstract
Abstract Section K of the services sector includes entities conducting financial and insurance activities and, among others, banks. Fluctuations in the whole economy and its individual sectors’ situation are interrelated; hence, one may also expect similarities of cyclical fluctuations in the banking sector and in the entire financial sector. The analyses in the article concern the connections between the cyclical fluctuations on the banking services market and in the entire K section of the services sector, grouping entities conducting financial and insurance activities in Poland. The analyses proved that changes in the economic situation appear earlier in the banking sector than in section K of the services sector. The time range of analyses covered the period from the first quarter of 2003 to the first quarter of 2018. Conclusions on relationships were formulated on the basis of cross-correlation analysis and the analysis of the turning points in the time series of variables describing the cyclical fluctuations in the banking market and in the K section of the services sector.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".