Bibliographic record
Abstract
Nation Branding in the Americas: Contested Politics and Identities provides an overview of nation branding in the Americas, an often neglected continent(s) in debates about the creation, dissemination and management of national images. Drawing on insights from promotional cultures, nationalism, geopolitics, media and communication, as well as their own research, the authors look at national promotion experiences in twelve countries - Canada, the United States, Mexico, Costa Rica, Colombia, Ecuador, Peru, Bolivia, Brazil, Uruguay, Argentina and Chile - , examining how these cases relate to broader challenges and commonalities, such as the relationship between nation branding and stereotypes, invisibility, heritage or internal contradictions. Nation Branding in the Americas: Contested Politics and Identities is an important contribution to the study of practices and concepts such as nation branding, public diplomacy, soft power, and strategic communication. It highlights the multifaceted nature of nation branding, and how this can be used to perpetuate local and global hierarchies, legitimize the agendas of specific governments, and discipline the inhabitants of a nation, but also become a venue for people to negotiate and communicate the kind of society they want to be. The book will therefore be of interest for undergraduate, postgraduate, and doctoral students specialized in marketing, media and communication, and international relations. It will also appeal to professionals in public diplomacy, strategic communication, public relations, and branding, offering a broad overview to the practice and discussion of national promotion in an increasingly contested and cacophonic global communication environment.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.006 |
| Scholarly communication | 0.010 | 0.004 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".