Bibliographic record
Abstract
The primary objective of this thesis is to provide a systematic analysis of the Portfolio behaviour of the principal holders of Government of Canada securities, particularly insofar as these latter securities are concerned. The main non-government participants in the market for these securities are categorized as chartered banks, non-bank financial institutions, which are further subdivided into deposit-type and insurance-type institutions, and non-financial corporations. Si~ce institutional and legal considerations differ considerably with respect to their impact on the investment behaviour of the groups studied, these aspects are examined in varying degrees of detail for each group. Empirical evidence is examined to determine the changes in the portfolio structure of these institutions over time and regression analysis is used to isolate the principal determinants of the demand for Government of Canada securities on the part of each of the above-mentioned groups. To provide a theoretical basis for an assessment of the appropriate explanatory variables and the direction of influence of these variables, a model of portfolio behaviour is developed for the deposit-type institutions. The results of this analysis are used in the specification and interpretation of demand equations for federal government securities on the part of these institutions. The thesis commences by providing a background with respect to the characteristics of the public debt and the growth in the debt over time and concludes with a summary of the results reached in the main body of empirical analysis. ~REFACE The topic of his study was decided upon after discussions
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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 | 0.000 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.017 | 0.001 |
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".