Bibliographic record
Abstract
In the contemporary era of information, it is a critical challenge for city managers to meet the demands of their citizens at the same pace as the development of its information technology resources. Guarapuava is an example of a centennial town that has been predominantly agricultural and now seeks to adjust to the population density and the new information age. Much like Guarapuava, many cities in Brazil and around the world are in a similar condition. The new reality of many towns is challenging for municipal managers. Strategic digital city is the application of information technology resources in the management of the city. The objective of this paper is to analyse the decision-making processes, strategies, public services, information technologies, and relationships with strategic digital city issues in the city of Guarapuava, Parana, Brazil. Using a survey methodology based on the research variables, we showed that the municipality has informal characteristics of the concept of a strategic digital city. Based on the results, the evidence domain types in the city are predominant for internet and colleagues inside the organization on a daily base. Google scholar is the most consulted research source of evidence. Respondents well know the term methodology. Their attitudes towards scientific research show that it is essential for managers and that managers are aware of how to use that technology. Related to evidence-based management the respondents, in general, agreed that using by evidence-based practices, managers can improve the quality of their work, and that this should be part of their formal education. Citizens should be utilised more as a source of evidence as well, as they are the users of the institutions. The strategies are more focused on the government and its administration, however, these strategies could include areas like science and technology. The city offers electronic public services to improve citizens lives, and to be more transparent in sharing information through these alternative channels. The analysis revealed the effort of the town to include citizens in the digital era, and its attempt to connect with them. The research serves as a reference for other municipalities with an interest in analysing projects related to the decision-making process, strategies, information, public services, and use of its IT resources. The study is also a contribution to academic knowledge in relation to the study of public policies related to urban management. Finally, the study contributes to the field of research related to the study of strategic digital city, serving as a basis for future studies in this discipline.
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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 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.010 | 0.029 |
| Scholarly communication | 0.021 | 0.016 |
| Open science | 0.001 | 0.013 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.009 | 0.001 |
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".