Factores que inciden en el pago de los impuestos de los expendedores de ropa del centro comercial ferroviario, ubicado en el Cantón Ambato, Provincia De Tungurahua, 2017
Bibliographic record
Abstract
Tax noncompliance at payment is one of the main events that affects tax collection, since it produces the scarcity of necessary resources to guarantee the public sustainability services. All people who carry out an economic activity in the country are subject to legal regulations that oblige them to comply taxes payment; the State will be distributed to the entire population in representation of the country jobs. In the commercial railway center, the merchants do not have knowledge about their tax obligations and this causes that they do not reach collection levels wished by the tributary authority, on the other hand, they are exposed to fines and sanctions. The investigation objective was to determine the factors that influence the taxes payment of the clothing retailers of railway commercial center, located at Ambato canton, Tungurahua province, 2017. During the investigation, the quantitative methodology was applied where they were analyzed. And they interpreted the results, allowing to acquire fundamental knowledge due to the fact that data was collected with quantifiable information, at the same time the investigation technique was used as the survey, being this one of great help, because it was useful on compilation process of information. According to the results, it was possible to identify the causes for which the majority of taxpayers do not comply with their taxes on time, this is due to their negligence and incompetence of formal tax duties, which could cause the disqualification of their commercial activities and an economic instability. Also, it was determined that the factor that has prevented from fulfilling their obligations, is ignorance, it is concluded that the breach of tax duties caused incidence on taxes payment, since many have been sanctioned, causing serious economic effects.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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".