Losing the “Lager War:” International Entrepreneurship and Business Failure in the United Kingdom Brewing Industry, 1975–1995
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
During the last three decades of the twentieth century, John Labatt Ltd., one of Canada’s oldest and most successful breweries, attempted to gain a share of the British beer market. This article examines the push and pull factors of why foreign brewers like Labatt decided to enter the competitive British marketplace and analyzes the strategies of the winners and losers of the “lager war.” The article pays attention to the branding efforts of marketing managers and how some used product–place associations to imbue their brands with authenticity. While positive country images often lead to a favorable assessment of the products from that country, it is also true that unfavorable perceptions often foster negative assessments of their products. By examining the entrepreneurship and structural barriers of the beer industry in the United Kingdom toward the end of the twentieth century, the article adds to our understanding of the dynamics of business failure.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 it