Knowledge and contribution against tax fraudation on the local economy in Guayaquil
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Tax evasion by taxpayers and companies constitutes a frequent crime in different economies, which indirectly impacts the local economy of any territory. In the city of Guayaquil, during the year 2022, the crime of tax fraud has been a growing concern, taking into account the impact this has on the local economy. The population of this area has seen the greatest impact reflected in public services due to their lack of attention and the decrease in the resources necessary to provide a good service to the general population. The existing situation with the lack of combativity, access to information and the population's low awareness of the issue could be verified through the study of a sample with the application of instruments that allowed it. The results obtained are evidence that tax fraud affects the economy and attention of society. The government has regulations regarding tax contributions and obligations for everyone in general, but at the same time, it lacks strict control over compliance with payments, which is why fraud by companies is common.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it