Place Images and Nation Branding in the African Context: Challenges, Opportunities, and Questions for Policy and Research
Bibliographic record
Abstract
This paper examines nation branding in Africa, based on a comprehensive and integrative review of past research. This considers, among others, current place images on the continent in the context of traditional views, which see it as a poor and underdeveloped region, versus the newer perspective of an evolving “African Renaissance”; efforts at systematic place marketing in sectors including tourism, foreign investment, natural resource and manufactured exports, and higher education; the absence of intra-African research on place image effects; reverse ethnocentrism, or the generally positive view of African consumers about products originating from more developed countries outside the continent; and the “continent effect”, which may affect individual countries' efforts to establish their own identities. Information and insights from this review are synthesized to highlight implications and potential directions for future research and policy, on both specific thematic areas as well as overarching research topics that affect all aspects of African images and nation branding.
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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 | 0.004 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.003 | 0.009 |
| Scholarly communication | 0.008 | 0.011 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.002 |
| 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".