A sport-oriented place branding strategy for cities, regions and countries
Bibliographic record
Abstract
Purpose How could a city, a region or a country succeed in its attempt to use sport to (re-)define, position and promote itself? Consequently, what do jurisdictions and brand managers need to consider when using sporting events as a leverage to market themselves abroad? The paper aims to discuss these issues. Design/methodology/approach This paper draws from a combination of an extensive literature review and secondary data collection in order to build a conceptual framework, entitled the “diamond” of place branding through sport. Findings Managers and politicians of cities, regions and countries should espouse a holistic approach when developing their place branding strategy through sport. This holistic approach can be articulated around four dimensions: sport, economic, commercial and social. Research limitations/implications Drawing mainly from a literature review, with the support of concrete examples, this is a first step within the confines of an exploratory research. A future study could analyze the specific cases of jurisdictions and how these fit within the conceptual framework articulated in this paper. Originality/value A place branding strategy through sport should be translated into a socio-economic legacy, with private and public benefits for the community. Ultimately, place branding through sport is one of the components of the overall place branding strategy of a jurisdiction.
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How this classification was reachedexpand
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".