As percepções de funcionalidade do cluster turístico de Manaus: uma avaliação entre os stakeholders governamentais e empresariais
Bibliographic record
Abstract
The purpose of this study is to research and evaluate the percepctions between stakeholders of Manaus tourism cluster, related to the quality of their services given, and find out if the competitive performance of the tourism sector is deficient for lack of quality service from the staff of the tourism trade in the city. The model adopted to measure the results wasof CALGARY Apud BENI (1998), for being a specific model to evaluate the competitiveness on tourism segment. It was tested some variables in this model to elaborate the questionnaire applied to stakeholders, to make easier the interpretation and understanding related to the governmental infrastructure, reliability, functional performance and partnerships. There were interviwed ten stakeholders in Manaus. It was also presented the model of SERVQUAL developed by PARASURAMAN, ZEITHALM and BERRY (1988), explaining its functionality and its recongnized value in research. The principal conclusions of this study was that the main problem found is not only related to the quality of services, but also to the difficulties of relationships between the Stateand City Government. Another point is that both governmental organizations find difficulties to get the entrepreneurs support due to discontinuing work in programs and projects settled in the past. The difficulties presented by the entrepreneurs are relatively smaller than theproblems of the governmental scale. It was also proven that the development of Tourism in Manaus is feasible, but it requires some changes in the government and entrepreneurs attitude, looking this way for partnerships and their understanding that the tourism will work well ifthere is interactions with other segments.
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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".