Bibliographic record
Abstract
In his new book, Christopher Browning explores the conceptual roots of nation branding. Browning delves into the motivations behind efforts of nation branding and the logics that govern this type of statecraft, offering an important critique of both the practice itself and the consultants, academics and policy-makers who promote it. The book eschews traditional understandings of nation branding, as a mere tool for public diplomacy or as a set of campaigns to be studied. Instead, Browning argues in favour of conceptualizing nation branding as a practice steeped in post-Cold War economic logic. According to the author, this practice is neither inherently peaceful nor inherently in line with public diplomatic efforts of the state, and, perhaps most importantly, the exercise commodifies national identity. The book begins with a genealogy of nation branding and its treatment in the literature, as both a concept and an act. The roots of nation branding come from the shifting constitutive discourses of international politics. In Browning's reading, the shift occurred from politically realist accounts of anarchy and power towards a hegemonic discourse, based on liberal economic competition. This framing captures the question of ‘globalization as the phenomenon’ versus ‘globalization as the discourse’. While the former may inform the salience or awareness of branding campaigns, the latter makes the logic of nation branding seem an acceptable or indeed natural way to maintain eminence in modern politics.
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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.008 | 0.005 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.047 | 0.004 |
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".