Atención de trámite durante la pandemia de la covid-19
Bibliographic record
Abstract
Es aquella que se encarga de la entrega de documentos y del proceso de los trámites que solicitan los ciudadanos, sin embargo, debido a la pandemia de la COVID-19, dichos procesos también se vieron afectados, teniendo que adaptarse al mundo virtual, tomando ideas innovadora para seguir atendiendo los trámites, es por ello que, se pueden realizar de manera virtual a través de las páginas de cada entidad, ya que, el tiempo de espera no iba de acorde a las expectativas de dichos usuarios, si bien, no todos los trámites se pueden realizar virtualmente por su complejidad, sin embargo la mayoría si, dando facilidades a los ciudadanos. La metodología utilizada fue la revisión bibliográfica donde se revisaron diversos autores y organismos internacionales y nacionales. Las conclusiones obtenidas es que la atención de trámite puede adaptarse de manera correcta incluso en los tramites más complejos, es importante que todos pueden disfrutar de las ventajas que el avance tecnológico brinda.
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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 | 0.005 | 0.017 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.009 | 0.007 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.013 | 0.003 |
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".