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Record W4407384287 · doi:10.51768/dbr.v6i1.61200513

Decreasing Consumer Sales as Canadian Dollar Plummets: An International Case Study

2005· article· en· W4407384287 on OpenAlexaboutno aff
Tim Lang, James Ondracek, Mohammad Saeed

Bibliographic record

VenueDelhi Business Review · 2005
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicEuropean Monetary and Fiscal Policies
Canadian institutionsnot available
Fundersnot available
KeywordsLiberian dollarBusinessCommerceIndustrial organizationFinance

Abstract

fetched live from OpenAlex

Purpose: The present study is a research on the decrease of Canadian visits to North Dakota in USA, located near Canadian border, and those sectors it has most affected. It also presents information concerning American visits to Canada, and what the government of Canada has done to entice them. The main point of this case study concerns the United States/Canadian dollar exchange rate and how exchange rates drive cross-border business trends between the United States and Canada. Design/Methodology/Approach: The methodological approach of this research study is descriptive and the data is obtained from various secondary data sources in thematic form, it is a case study of decreasing consumer sales as Canadian dollar plummets. Findings: It was postulated that the once lucrative Canadian market that occupied North Dakotas hotels and shops in USA, located near Canadian border, appears to be a distant memory. The boom that caused expansion is now just a thing of the past. With no end in sight for the weak Canadian dollar, it will be up to North Dakota businesses and government to entice the visitors back. It is a fact that Canadians enjoy visiting the United States. But for now it appears the Canadian dollars’ low value will keep them away. Research Limitations: The main limitation for this study is that it is based on secondary data. Replicating the research approach with more comprehensive data would result in deriving better conclusion. Managerial Implications: The implications for management from this study are that the author discusses what could be done to recapture the Canadian market and how exchange rates drive cross-border business trends between the United States and Canada. Originality/Value: This study showcased the original work of the authors on the decrease of Canadian visits to North Dakota in USA, located near Canadian border, and those sectors it has most affected. It also presents information concerning American visits to Canada, and what the government of Canada has done to entice them.

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 imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.246
Threshold uncertainty score0.495

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0030.009
Science and technology studies0.0130.003
Scholarly communication0.0040.002
Open science0.0020.002
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0050.000

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.

Opus teacher head0.068
GPT teacher head0.283
Teacher spread0.215 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2005
Admission routes1
Has abstractyes

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