Bibliographic record
Abstract
The purpose of the paper is to discuss the factors affecting the Canadian dollar and determine whether it is a commodity driven currency. It further assesses whether the Dutch disease is prevalent in Canada. While much research has been done to explain exchange rate movements, it remains one of the more complicated areas of economics. However, there is some common ground among the various models, and several basic determinants of the exchange rate may be identified. Modification to these models may be applied for specific situations as in the case of Canada, where commodities are found to be one of the important components of exchange rate models. In Canada’s specific case, commodities form an esstial part of the overall economic output. Therefore their inclusion in such models is necessary. With a large commodity trade portfolio, the country is susceptible to the Dutch disease in cases of a commodity boom. However, research shows that in the case of Canada, it is not a problem of currency appreciation but external factors leading to depreciation of the currency of their largest trading partner, the US. Therefore, the Dutch disease may not be prevalent, but the lack of diversification in the trade portfolio may be leading to negative effects ON the manufacturing sector. A similar effect is reflected by the empirical findings where commodity driven currency appreciation is negatively related to manufacturing output. However, given the multiple economic interactions, these results should be treated with caution.
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.
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 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 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".