Impacts of Foreign Retail Entry on the Host Country: The Canadian Apparel Industry
Bibliographic record
Abstract
By the later decades of the twentieth century, retail internationalization was no longer the activity of a few multi-national retailers; revising the traditional view of retailing as a national business and the need to understand the process of internationalization. Academic research enriched the understanding of this activity, moving away from the early use of surveys to delve into the specific processes of the retailers in order to properly analyze foreign expansion activity. Initial research focused on the perspective of the firm, contributing to knowledge of the why, where, and how of the internationalization process. As this research expanded its scope, it became necessary for researchers to explore when internationalization occurs and to document what was the impact of internationalization on the host country. This call for research was made by Dawson (2003), who proposed a framework for the study of foreign impact on the domestic retailers of a host country. This study utilizes the Dawson model to measure, analyze, and explain the when and what of the retail internationalization process. In recognition of the complexity of the retail internationalization process, it was determined
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.005 | 0.002 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 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".