The brand and its history: Trademarks, branding and national identity
Bibliographic record
Abstract
This book delves into the origins and evolution of trademark and branding practices in a wide range of geographical areas and periods, providing key knowledge for academics, professionals, and general audiences on the complex world of brands. The volume compiles the work of twenty-five prominent worldwide scholars studying the origins and evolution of trademarks and branding practices from medieval times to present days and from distinct European countries to the USA, New Zealand, Canada, Latin America, and the Soviet Union. The first part of the book provides new insights on pre-modern craft marks, on the emergence of trademark legal regimes during the nineteenth century, and on the evolution of trademark and business strategies in distinct regions, sectors, and contexts. As industrialisation and globalisation spread during the twentieth century, trademarking led to modern branding and international marketing, a process driven by new economic, but also cultural factors. The second part of the book explores the cultural side of the brand and offers challenging studies on how luxury, fashion, culture associations, and the consolidation of national identities played a key role in nowadays branding. This edited volume will not only be of great value to scholars, students and policymakers interested in trademark/branding research, but to marketing and legal practitioners as well, aiming to delve into the origins of modern brand strategies. The chapters in this book were originally published as two special issues of the journal, Business History
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.003 | 0.006 |
| Scholarly communication | 0.009 | 0.009 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.013 | 0.002 |
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".