Portuguese digital diplomacy: analysis of the use of social networks by the Embassy of Portugal in Canada for the promotion of soft power
Bibliographic record
Abstract
Esta dissertação explora o papel da diplomacia digital na promoção do soft power de Portugal, especificamente através do uso das redes sociais pela Embaixada de Portugal no Canadá. A pesquisa investiga como as plataformas de media social como Facebook e X (antigo Twitter) são utilizadas para aumentar a visibilidade de Portugal, interagir com o público e promover laços bilaterais entre Portugal e Canadá. O estudo baseia-se em teorias da diplomacia, soft power e marketing digital para avaliar as estratégias da embaixada e o seu impacto na posição internacional de Portugal. Esta pesquisa identifica os pontos fortes, fracos, oportunidades e ameaças das atuais iniciativas de diplomacia digital. Ao comparar essas práticas com as melhores práticas internacionais, o estudo fornece insights sobre como Portugal pode otimizar ainda mais seu soft power por meio das medias sociais, destacando a importância do engajamento consistente, promoção cultural e interação com a diáspora portuguesa. As descobertas contribuem para a compreensão de como países menores como Portugal podem alavancar ferramentas digitais para aumentar sua presença diplomática e influência global.
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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 | 0.001 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.007 |
| Science and technology studies | 0.005 | 0.002 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".